test_2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": " Mavoix_test_2.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "mount_file_id": "1Hk1rnCeYshSTZfjZj6YzepUpyczcIILI",
      "authorship_tag": "ABX9TyNhRaostgRaUJ2Qwl7UIaVD",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Muktan/Potential_candidate_identifier/blob/master/Mavoix_test_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LB-nmc9c-vLd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uojUXUeAYTB9",
        "colab_type": "code",
        "outputId": "00e18cd2-b7a3-4f84-f9fe-40bd95c7520c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "#import pandas and then load the dataset\n",
        "#note: to load data you need to upload the whole dataset to the Files section in left of the google colab\n",
        "import pandas as pd\n",
        "data = pd.read_excel('/content/mavoix_ml_sample_dataset.xlsx')\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>Unnamed: 10</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>NaN</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  Performance_12  Performance_10\n",
              "0         ML0001    Bangalore  ...             NaN             NaN\n",
              "1         ML0002    Bangalore  ...     92.20/92.20     96.60/96.60\n",
              "2         ML0003    Bangalore  ...     64.83/64.83     77.60/77.60\n",
              "3         ML0004    Bangalore  ...     76.00/76.00     84.32/84.32\n",
              "4         ML0005    Bangalore  ...     65.20/65.20     68.80/68.80\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i3_A3R4XZtEA",
        "colab_type": "code",
        "outputId": "5c149d9c-b68e-4efe-cc4d-97afd0727695",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#knowing the shape of the data\n",
        "print(data.shape)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(392, 24)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xw39Jpf5aFMj",
        "colab_type": "code",
        "outputId": "7ab83988-de0d-4625-ddb0-66d82768996c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "#there was a column that has no data so removing it\n",
        "data = data.drop(columns=['Unnamed: 10'])\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>NaN</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  Performance_12  Performance_10\n",
              "0         ML0001    Bangalore  ...             NaN             NaN\n",
              "1         ML0002    Bangalore  ...     92.20/92.20     96.60/96.60\n",
              "2         ML0003    Bangalore  ...     64.83/64.83     77.60/77.60\n",
              "3         ML0004    Bangalore  ...     76.00/76.00     84.32/84.32\n",
              "4         ML0005    Bangalore  ...     65.20/65.20     68.80/68.80\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UUFHiI__a7Mv",
        "colab_type": "code",
        "outputId": "2817eb0b-ca7a-48f3-f8db-af61c0eb80b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        }
      },
      "source": [
        "#describing the data\n",
        "data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1.375000</td>\n",
              "      <td>0.566327</td>\n",
              "      <td>0.461735</td>\n",
              "      <td>0.612245</td>\n",
              "      <td>0.403061</td>\n",
              "      <td>1.346939</td>\n",
              "      <td>1.045918</td>\n",
              "      <td>0.770408</td>\n",
              "      <td>0.015306</td>\n",
              "      <td>0.265306</td>\n",
              "      <td>0.035714</td>\n",
              "      <td>0.086735</td>\n",
              "      <td>0.178571</td>\n",
              "      <td>2018.867347</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.975237</td>\n",
              "      <td>0.905052</td>\n",
              "      <td>0.842336</td>\n",
              "      <td>0.911789</td>\n",
              "      <td>0.837602</td>\n",
              "      <td>1.071386</td>\n",
              "      <td>1.022976</td>\n",
              "      <td>0.966626</td>\n",
              "      <td>0.122924</td>\n",
              "      <td>0.715928</td>\n",
              "      <td>0.255377</td>\n",
              "      <td>0.401567</td>\n",
              "      <td>0.499360</td>\n",
              "      <td>2.280296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2004.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2018.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2020.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2023.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Python (out of 3)  ...  Current Year Of Graduation\n",
              "count         392.000000  ...                  392.000000\n",
              "mean            1.375000  ...                 2018.867347\n",
              "std             0.975237  ...                    2.280296\n",
              "min             0.000000  ...                 2004.000000\n",
              "25%             0.000000  ...                 2018.750000\n",
              "50%             2.000000  ...                 2019.000000\n",
              "75%             2.000000  ...                 2020.000000\n",
              "max             3.000000  ...                 2023.000000\n",
              "\n",
              "[8 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ns10bFgubWUa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#thoes who have no PG degree assign their pg performance to 0 on scale of 10\n",
        "data['Performance_PG'].fillna(\"0/10\",inplace = True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aLC9BiyFcbCp",
        "colab_type": "code",
        "outputId": "97967d3e-554a-4966-8d3c-fd421984141c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "#similarly for UG, 10 and 12\n",
        "data['Performance_UG'].fillna(\"0/10\",inplace = True)\n",
        "data['Performance_10'].fillna(\"0/10\",inplace = True)\n",
        "data['Performance_12'].fillna(\"0/10\",inplace = True)\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  Performance_12  Performance_10\n",
              "0         ML0001    Bangalore  ...            0/10            0/10\n",
              "1         ML0002    Bangalore  ...     92.20/92.20     96.60/96.60\n",
              "2         ML0003    Bangalore  ...     64.83/64.83     77.60/77.60\n",
              "3         ML0004    Bangalore  ...     76.00/76.00     84.32/84.32\n",
              "4         ML0005    Bangalore  ...     65.20/65.20     68.80/68.80\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6RYbRWMoegIZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#try performance of 10 and 12 generally are not related to the roles they are suitable for creating another seperate instance of data that dont have both fields\n",
        "data_no_10_12 = data.drop(columns=['Performance_12','Performance_10'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fBfWHbpmewKP",
        "colab_type": "code",
        "outputId": "350183e6-c3da-4573-c0ca-4cb0f7b2b830",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "data_no_10_12.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  Performance_PG  Performance_UG\n",
              "0         ML0001    Bangalore  ...            0/10            0/10\n",
              "1         ML0002    Bangalore  ...            0/10       85.50/100\n",
              "2         ML0003    Bangalore  ...         7.91/10       70.00/100\n",
              "3         ML0004    Bangalore  ...            0/10         6.86/10\n",
              "4         ML0005    Bangalore  ...            0/10         6.38/10\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S2xTiucTe1jZ",
        "colab_type": "code",
        "outputId": "c52d143b-ab69-40d5-ae91-6be3bc58583c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        }
      },
      "source": [
        "#converting performance score in range 0-1 from format x/10 or x/100\n",
        "for i in data.index:\n",
        "  l = data['Performance_UG'][i].split('/')\n",
        "  x = float(l[0])/float(l[1])\n",
        "  data['new_perf_UG'][i] = x\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  after removing the cwd from sys.path.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_UG  new_perf_PG\n",
              "0         ML0001    Bangalore  ...        0.000            0\n",
              "1         ML0002    Bangalore  ...        0.855            0\n",
              "2         ML0003    Bangalore  ...        0.700            0\n",
              "3         ML0004    Bangalore  ...        0.686            0\n",
              "4         ML0005    Bangalore  ...        0.638            0\n",
              "\n",
              "[5 rows x 25 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OnOTe24JfoKd",
        "colab_type": "code",
        "outputId": "1dce8ede-c825-4dae-e3fe-a5591a0c57db",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        }
      },
      "source": [
        "\n",
        "for i in data.index:\n",
        "  l = data['Performance_PG'][i].split('/')\n",
        "  x = float(l[0])/float(l[1])\n",
        "  data['new_perf_PG'][i] = x\n",
        "  \n",
        "\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_UG  new_perf_PG\n",
              "0         ML0001    Bangalore  ...        0.000        0.000\n",
              "1         ML0002    Bangalore  ...        0.855        0.000\n",
              "2         ML0003    Bangalore  ...        0.700        0.791\n",
              "3         ML0004    Bangalore  ...        0.686        0.000\n",
              "4         ML0005    Bangalore  ...        0.638        0.000\n",
              "\n",
              "[5 rows x 25 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4JZS3BEag2s-",
        "colab_type": "code",
        "outputId": "eccd113d-4636-4487-cc0f-3e9cd7a0ecfe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        }
      },
      "source": [
        "for i in data.index:\n",
        "  l = data['Performance_10'][i].split('/')\n",
        "  if float(l[0])<10.00:\n",
        "    x = float(l[0])/10\n",
        "  else:\n",
        "    x = float(l[0])/100\n",
        "  \n",
        "  data['new_perf_10'][i] = x\n",
        "  \n",
        "\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_PG  new_perf_10\n",
              "0         ML0001    Bangalore  ...        0.000       0.0000\n",
              "1         ML0002    Bangalore  ...        0.000       0.9660\n",
              "2         ML0003    Bangalore  ...        0.791       0.7760\n",
              "3         ML0004    Bangalore  ...        0.000       0.8432\n",
              "4         ML0005    Bangalore  ...        0.000       0.6880\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6lUzGzdAjYcC",
        "colab_type": "code",
        "outputId": "08293515-a61d-4819-a667-3fccfd065d89",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "for i in data.index:\n",
        "  l = data['Performance_12'][i].split('/')\n",
        "  if float(l[0])<10.00:\n",
        "    x = float(l[0])/10\n",
        "  else:\n",
        "    x = float(l[0])/100\n",
        "  \n",
        "  data['new_perf_12'][i] = x"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q6MKOuuRoDGe",
        "colab_type": "code",
        "outputId": "196345f6-23c7-496d-9b93-8f87bf33b0c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>Performance_PG</th>\n",
              "      <th>Performance_UG</th>\n",
              "      <th>Performance_12</th>\n",
              "      <th>Performance_10</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0/10</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>85.50/100</td>\n",
              "      <td>92.20/92.20</td>\n",
              "      <td>96.60/96.60</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>7.91/10</td>\n",
              "      <td>70.00/100</td>\n",
              "      <td>64.83/64.83</td>\n",
              "      <td>77.60/77.60</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.86/10</td>\n",
              "      <td>76.00/76.00</td>\n",
              "      <td>84.32/84.32</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0/10</td>\n",
              "      <td>6.38/10</td>\n",
              "      <td>65.20/65.20</td>\n",
              "      <td>68.80/68.80</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_10  new_perf_12\n",
              "0         ML0001    Bangalore  ...       0.0000       0.0000\n",
              "1         ML0002    Bangalore  ...       0.9660       0.9220\n",
              "2         ML0003    Bangalore  ...       0.7760       0.6483\n",
              "3         ML0004    Bangalore  ...       0.8432       0.7600\n",
              "4         ML0005    Bangalore  ...       0.6880       0.6520\n",
              "\n",
              "[5 rows x 27 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kfiyH2x_oHNU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# remove older performances of format x/10 or x/100\n",
        "#new_perf_PG is new scaled collumn\n",
        "# removing Performance_PG\n",
        "data = data.drop(columns=['Performance_PG','Performance_UG','Performance_12','Performance_10'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wb9ktI75oYDo",
        "colab_type": "code",
        "outputId": "566ecc7a-dee7-4233-d839-d1e40f487b16",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_10  new_perf_12\n",
              "0         ML0001    Bangalore  ...       0.0000       0.0000\n",
              "1         ML0002    Bangalore  ...       0.9660       0.9220\n",
              "2         ML0003    Bangalore  ...       0.7760       0.6483\n",
              "3         ML0004    Bangalore  ...       0.8432       0.7600\n",
              "4         ML0005    Bangalore  ...       0.6880       0.6520\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kD_ePwTJocIR",
        "colab_type": "code",
        "outputId": "7b766871-17d1-4dbb-f452-2de6d19aa6ad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(data.shape)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(392, 23)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ATkJC-wwqVpk",
        "colab_type": "code",
        "outputId": "460e1d9a-1955-4bf8-ca03-a0311f708290",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Application_ID</th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ML0001</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ML0002</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ML0003</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ML0004</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ML0005</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Application_ID Current City  ...  new_perf_10  new_perf_12\n",
              "0         ML0001    Bangalore  ...       0.0000       0.0000\n",
              "1         ML0002    Bangalore  ...       0.9660       0.9220\n",
              "2         ML0003    Bangalore  ...       0.7760       0.6483\n",
              "3         ML0004    Bangalore  ...       0.8432       0.7600\n",
              "4         ML0005    Bangalore  ...       0.6880       0.6520\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YBQMPScErAjE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#removing application id \n",
        "data = data.drop(columns=['Application_ID'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "llG7C2BGrMJd",
        "colab_type": "code",
        "outputId": "9c283186-2bd4-4d86-cc94-6bbb97f962f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Current City</th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Bangalore</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Bangalore</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bangalore</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Current City  Python (out of 3)  ...  new_perf_10  new_perf_12\n",
              "0    Bangalore                  0  ...       0.0000       0.0000\n",
              "1    Bangalore                  2  ...       0.9660       0.9220\n",
              "2    Bangalore                  3  ...       0.7760       0.6483\n",
              "3    Bangalore                  2  ...       0.8432       0.7600\n",
              "4    Bangalore                  2  ...       0.6880       0.6520\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8N_BLlTirOQg",
        "colab_type": "code",
        "outputId": "5458eccf-4b5a-4cca-b937-0c5317a2d85c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "#removing city as city is not a good feature to charecterize if person is good skilled or not good skilled\n",
        "data = data.drop(columns=['Current City'])\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Python (out of 3)  R Programming (out of 3)  ...  new_perf_10  new_perf_12\n",
              "0                  0                         2  ...       0.0000       0.0000\n",
              "1                  2                         0  ...       0.9660       0.9220\n",
              "2                  3                         0  ...       0.7760       0.6483\n",
              "3                  2                         0  ...       0.8432       0.7600\n",
              "4                  2                         0  ...       0.6880       0.6520\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eoyrElkOtaz3",
        "colab_type": "code",
        "outputId": "37dc9eb9-67c9-4db9-d847-f14006216348",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "# average the scores of all data science related skills\n",
        "for i in data.index:\n",
        "  score = (data['Python (out of 3)'][i]+data['R Programming (out of 3)'][i]+data['Deep Learning (out of 3)'][i])/9\n",
        "  data['data_scientist_skills'][i] = score\n",
        "  "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q4ykgoUeuVWW",
        "colab_type": "code",
        "outputId": "298538a2-02bc-47dd-f68e-6273dda7b0cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Python (out of 3)  ...  data_scientist_skills\n",
              "0                  0  ...               0.222222\n",
              "1                  2  ...               0.222222\n",
              "2                  3  ...               0.444444\n",
              "3                  2  ...               0.444444\n",
              "4                  2  ...               0.222222\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0CyI55WSuXDk",
        "colab_type": "code",
        "outputId": "901d40a3-5d5d-4951-ca52-2397a562cfb3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        }
      },
      "source": [
        "#combine all webdev skills as one collumn\n",
        "for i in data.index:\n",
        "  score = (data['PHP (out of 3)'][i]+\tdata['MySQL (out of 3)'][i]+\tdata['HTML (out of 3)'][i]\t+data['CSS (out of 3)'][i]\t+ data['JavaScript (out of 3)'][i]+\tdata['AJAX (out of 3)'][i]+\tdata['Bootstrap (out of 3)'][i]\t+data['MongoDB (out of 3)'][i]\t+data['Node.js (out of 3)'][i]\t+data['ReactJS (out of 3)'][i])/30\n",
        "  data['web_development_skills'][i] = score\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Python (out of 3)</th>\n",
              "      <th>R Programming (out of 3)</th>\n",
              "      <th>Deep Learning (out of 3)</th>\n",
              "      <th>PHP (out of 3)</th>\n",
              "      <th>MySQL (out of 3)</th>\n",
              "      <th>HTML (out of 3)</th>\n",
              "      <th>CSS (out of 3)</th>\n",
              "      <th>JavaScript (out of 3)</th>\n",
              "      <th>AJAX (out of 3)</th>\n",
              "      <th>Bootstrap (out of 3)</th>\n",
              "      <th>MongoDB (out of 3)</th>\n",
              "      <th>Node.js (out of 3)</th>\n",
              "      <th>ReactJS (out of 3)</th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Python (out of 3)  ...  web_development_skills\n",
              "0                  0  ...                0.366667\n",
              "1                  2  ...                0.333333\n",
              "2                  3  ...                0.266667\n",
              "3                  2  ...                0.100000\n",
              "4                  2  ...                0.400000\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xmP-Lec4v1lE",
        "colab_type": "code",
        "outputId": "4e9312c0-8768-4a0d-dd15-bc2e17190449",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "data = data.drop(columns=['Python (out of 3)','R Programming (out of 3)','Deep Learning (out of 3)','PHP (out of 3)','MySQL (out of 3)','HTML (out of 3)','CSS (out of 3)','JavaScript (out of 3)','AJAX (out of 3)','Bootstrap (out of 3)','MongoDB (out of 3)'\t,'Node.js (out of 3)',\t'ReactJS (out of 3)'])\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>Current Year Of Graduation</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>2017</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>2019</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>2018</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        Other skills  ... web_development_skills\n",
              "0                                      R Programming  ...               0.366667\n",
              "1  Data Science, Machine Learning, Neural Network...  ...               0.333333\n",
              "2  Algorithms, Data Structures, Python, C Program...  ...               0.266667\n",
              "3  CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...               0.100000\n",
              "4  HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...               0.400000\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "napV1KKuwqZM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.drop(columns=['Current Year Of Graduation'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZKg2mdQ0xRTx",
        "colab_type": "code",
        "outputId": "74489c06-2fdf-4dcf-cca4-ba5ce9a60242",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        }
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        Other skills  ... web_development_skills\n",
              "0                                      R Programming  ...               0.366667\n",
              "1  Data Science, Machine Learning, Neural Network...  ...               0.333333\n",
              "2  Algorithms, Data Structures, Python, C Program...  ...               0.266667\n",
              "3  CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...               0.100000\n",
              "4  HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...               0.400000\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kPtIEtEkxTMl",
        "colab_type": "code",
        "outputId": "83b6f8ea-1b85-4940-f05e-ce41c232fd70",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "#finding all skills from the Other skills of all candidates\n",
        "\n",
        "full_list = []\n",
        "for i in data.index:\n",
        "  try:\n",
        "    l = data['Other skills'][i].split(',')\n",
        "    for e in l:\n",
        "      full_list.append(e.strip())\n",
        "  except:\n",
        "    continue\n",
        "  \n",
        "\n",
        "print(full_list)\n",
        "print(len(full_list))\n",
        "print(set(full_list))\n",
        "print(len( set(full_list) ))\n",
        "for e in set(full_list):\n",
        "  print(e)\n",
        "  "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['R Programming', 'Data Science', 'Machine Learning', 'Neural Networks', 'Python', 'Android', 'Algorithms', 'Data Structures', 'Python', 'C Programming', 'C#.NET', 'C++ Programming', 'Data Analytics', 'Java', 'Machine Learning', 'Mathematics', 'MongoDB', 'Natural Language Processing (NLP)', 'PostgreSQL', 'SQL', 'Statistical Modeling', 'Amazon Web Services (AWS)', 'Deep Learning', 'CSS', 'Deep Learning', 'Embedded Systems', 'HTML', 'Machine Learning', 'Python', 'Arduino', 'HTML', 'OpenCV', 'Python', 'SQL', 'C++ Programming', 'CSS', 'Django', 'MongoDB', 'REST API', 'Data Analytics', 'Machine Learning', 'MySQL', 'Python', 'MS-Word', 'Python', 'Robotics', 'Data Analytics', 'Python', 'SQL', '.NET', 'ASP.NET', 'C#', 'MS SQL Server', 'MySQL', 'R Programming', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'Hindi Proficiency(Spoken)', 'LaTeX', 'MS-Excel', 'MS-PowerPoint', 'MS-Word', 'Python', 'Report Writing', 'BIG DATA ANALYTICS', 'Creative Writing', 'Data Analytics', 'Event Management', 'MATLAB', 'Machine Learning', 'Physics', 'SQL', 'Teaching', 'WordPress', 'C++ Programming', 'Catia', 'Video Editing', 'MS-Office', 'Computer Vision', 'Data Analytics', 'Deep Learning', 'MS-Excel', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'SQL', 'CSS', 'HTML', 'Java', 'Python', 'SQL', 'Python', 'C++ Programming', 'Data Analytics', 'Deep Learning', 'MATLAB', 'Machine Learning', 'SQL', 'C Programming', 'Image Processing', 'Machine Learning', 'Natural Language Processing (NLP)', 'OpenCV', 'Python', 'R Programming', 'Deep Learning', 'MySQL', 'C Programming', 'C++ Programming', 'Data Analytics', 'Java', 'MS-Excel', 'Machine Learning', 'MySQL', 'Python', 'R Programming', 'Statistical Modeling', 'Java', 'Python', 'SQL', 'C Programming', 'SQL', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'Python', 'MS-Office', 'Python', 'Data Science', 'Machine Learning', 'SQL', 'Data Analytics', 'Machine Learning', 'Python', 'BIG DATA ANALYTICS', 'Data Analytics', 'Database Management System (DBMS)', 'Machine Learning', 'MySQL', 'Natural Language Processing (NLP)', 'Python', 'HTML', 'MS-Excel', 'SQL', 'Android', 'JavaScript', 'PHP', 'Python', 'Python', 'R Programming', 'Data Science', 'C Programming', 'Data Structures', 'Machine Learning', 'Neural Networks', 'Python', 'SQL', 'Deep Learning', 'Machine Learning', 'Python', 'Algorithms', 'C++ Programming', 'Data Structures', 'Database Management System (DBMS)', 'Python', 'Java', 'C Programming', 'Java', 'MySQL', 'PHP', 'Python', 'Machine Learning', 'Python', 'Artifical Intelligence', 'C++ Programming', 'Deep Learning', 'Image Processing', 'Machine Learning', 'Python', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'MATLAB', 'R Programming', 'Artifical Intelligence', 'Computer Vision', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'SQL', 'Statistical Modeling', 'Tableau', 'Data Analytics', 'MS-Excel', 'MS-Office', 'Machine Learning', 'Python', 'R Programming', 'SQL', 'Data Analytics', 'Machine Learning', 'Python', 'CSS', 'Django', 'HTML', 'JavaScript', 'Python', 'Python', 'Data Structures', 'Deep Learning', 'Machine Learning', 'R Programming', 'Statistical Modeling', 'Natural Language Processing (NLP)', 'Artifical Intelligence', 'Data Analytics', 'Deep Learning', 'MS-Excel', 'Machine Learning', 'Python', 'R Programming', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'SPSS', 'Data Analytics', 'Database Management System (DBMS)', 'MS-Excel', 'Machine Learning', 'Report Writing', 'Adobe Photoshop', 'PHP', 'WordPress', 'Django', 'MS-Excel', 'Machine Learning', 'Python', 'SQL', 'Data Structures', 'Artifical Intelligence', 'Database Management System (DBMS)', 'Deep Learning', 'J2EE', 'Java', 'Machine Learning', 'Python', 'C Programming', 'MS-Office', 'Bootstrap', 'C++ Programming', 'Data Structures', 'English Proficiency (Spoken)', 'HTML', 'MySQL', 'PHP', 'Python', 'Bootstrap', 'CSS', 'HTML', 'JavaScript', 'WordPress', 'Java', 'Python', 'C Programming', 'C++ Programming', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'Android', 'Java', 'Adobe Photoshop', 'Machine Learning', 'Python', 'English Proficiency (Spoken)', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'R Programming', 'Tableau', 'Python', 'C Programming', 'Data Analytics', 'Data Science', 'Python', 'R Programming', 'MS-Excel', 'Machine Learning', 'SQL', 'Statistical Modeling', 'Tableau', 'Algorithms', 'C++ Programming', 'Data Analytics', 'Data Structures', 'Machine Learning', 'Mathematics', 'Python', 'Image Processing', 'Machine Learning', 'Mathematics', 'Python', 'Computer Vision', 'Deep Learning', 'OpenCV', 'Django', 'AutoCAD', 'Embedded Systems', 'MATLAB', 'C Programming', 'C++ Programming', 'Deep Learning', 'Machine Learning', 'Python', 'Machine Learning', 'Python', 'SQL', 'Python', 'Computer Vision', 'Image Processing', 'Machine Learning', 'Natural Language Processing (NLP)', 'OpenCV', 'HTML', 'Java', 'MS-Word', 'C Programming', 'Python', 'Artifical Intelligence', 'Machine Learning', 'Python', 'SQL', 'Statistical Modeling', 'MongoDB', 'Deep Learning', 'Machine Learning', 'Python', 'Artifical Intelligence', 'Natural Language Processing (NLP)', 'AngularJS', 'CSS', 'HTML', 'Java', 'JavaScript', 'MySQL', 'Node.js', 'ReactJS', 'Python', 'MS-Word', 'Statistical Modeling', 'MS-Excel', 'MS-Office', 'Mathematics', 'Python', 'R Programming', 'Data Analytics', 'C Programming', 'Data Structures', 'Deep Learning', 'Machine Learning', 'MySQL', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'Computer Vision', 'Django', 'Hadoop', 'Data Analytics', 'Machine Learning', 'Database Management System (DBMS)', 'C Programming', 'C++ Programming', 'Python', 'Java', 'HTML', 'JavaScript', 'SQL', 'Data Analytics', 'Machine Learning', 'MySQL', 'Python', 'Statistical Modeling', 'BIG DATA ANALYTICS', 'MS-Excel', 'SAS', 'R Programming', 'Computer Vision', 'Deep Learning', 'Image Processing', 'Neural Networks', 'Python', 'Data Analytics', 'AutoCAD', 'Autodesk Inventor', 'C Programming', 'SolidWorks', 'ANSYS', 'C++ Programming', 'GNU Octave', 'MATLAB', 'Arduino', 'Autodesk SketchBook', 'HTML', 'Machine Learning', 'Python', 'BIG DATA ANALYTICS', 'Data Analytics', 'Database Management System (DBMS)', 'Linux', 'Machine Learning', 'Python', 'R Programming', 'SQL', 'Java', 'MS-Office', 'C Programming', 'Python', 'R Programming', 'Visual Basic (VB)', 'C++ Programming', 'MS SQL Server', 'NoSQL', 'English Proficiency (Spoken)', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'Python', 'R Programming', 'C Programming', 'C++ Programming', 'Data Analytics', 'Data Structures', 'Database Management System (DBMS)', 'Python', 'Machine Learning', 'Data Analytics', 'English Proficiency (Spoken)', 'Hindi Proficiency (Spoken)', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'SQL', 'C Programming', 'C++ Programming', 'Hadoop', 'Linux', 'Machine Learning', 'MySQL', 'Python', 'Blockchain', 'Image Processing', 'AutoCAD', 'Machine Learning', 'Python', 'R Programming', 'SQL', 'Natural Language Processing (NLP)', 'Data Analytics', 'Data Science', 'MS-Excel', 'Machine Learning', 'Python', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'MS-Word', 'Machine Learning', 'MySQL', 'Python', 'WordPress', 'Java', 'Algorithms', 'C Programming', 'C++ Programming', 'Data Analytics', 'Data Science', 'Data Structures', 'MS-Excel', 'MS-Word', 'Machine Learning', 'Python', 'Statistical Modeling', 'Database Management System (DBMS)', 'SQL', 'Algorithms', 'Cloud Computing', 'Database Management System (DBMS)', 'MS-Excel', 'MS-Word', 'Machine Learning', 'Mathematics', 'R Programming', 'Statistical Modeling', 'Python', 'SPSS', 'MS-Excel', 'Machine Learning', 'Python', 'R Programming', 'MS-Office', 'English Proficiency (Spoken)', 'HTML', 'Java', 'MS-Excel', 'Python', 'Data Analytics', 'HTML', 'JavaScript', 'Data Analytics', 'Deep Learning', 'Machine Learning', 'Neural Networks', 'Python', 'Android', 'C Programming', 'C++ Programming', 'Computer Networks', 'Data Structures', 'Database Management System (DBMS)', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'HTML', 'Java', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'Adobe Photoshop', 'CSS', 'Linux', 'PHP', 'Python', 'XML', 'Adobe Photoshop', 'CSS', 'Computer Vision', 'Data Analytics', 'Deep Learning', 'HTML', 'JavaScript', 'MATLAB', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'MS-Excel', 'PHP', 'jQuery', 'Data Analytics', 'Machine Learning', 'Python', 'Machine Learning', 'Python', 'SQL', 'Database Testing', 'R Programming', 'English Proficiency (Spoken)', 'MS-Excel', 'Data Analytics', 'Machine Learning', 'Python', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'Machine Learning', 'Python', 'R Programming', 'SPSS', 'Statistical Modeling', 'C++ Programming', 'Google Analytics', 'Six Sigma', 'Data Analytics', 'MS-Word', 'Python', 'Event Management', 'MS-Office', 'MS-PowerPoint', 'R Programming', 'SQL', 'Deep Learning', 'Machine Learning', 'Python', 'Algorithms', 'Artifical Intelligence', 'C Programming', 'C++ Programming', 'Computer Vision', 'GitHub', 'Java', 'Python', 'SQL', 'Machine Learning', 'Python', 'R Programming', 'Statistical Modeling', 'Apache', 'Hadoop', 'Machine Learning', 'Python', 'Artifical Intelligence', 'Django', 'Python', 'Deep Learning', 'Machine Learning', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'Deep Learning', 'Machine Learning', 'Python', 'SAP', 'Machine Learning', 'Python', 'MS-Excel', 'MS-Office', 'Machine Learning', 'Python', 'Linux', 'Data Analytics', 'Deep Learning', 'Image Processing', 'Java', 'Machine Learning', 'PHP', 'Python', 'R Programming', 'Natural Language Processing (NLP)', 'OpenCV', 'Statistical Modeling', 'C Programming', 'Internet of Things (IoT)', 'Mathematics', 'Database Management System (DBMS)', 'HTML', 'JavaScript', 'Machine Learning', 'MySQL', 'Python', 'BIG DATA ANALYTICS', 'C Programming', 'HTML', 'PHP', 'Python', 'AngularJS', 'JavaScript', 'English Proficiency (Written)', 'Hindi Proficiency (Written)', 'MS-Excel', 'MS-PowerPoint', 'MS-Word', 'Python', 'Telugu Proficiency (Spoken)', 'Telugu Proficiency (Written)', 'C Programming', 'Computer Vision', 'Deep Learning', 'Digital Signal Processing', 'English Proficiency (Spoken)', 'Hindi Proficiency (Spoken)', 'Image Processing', 'LaTeX', 'MATLAB', 'Machine Learning', 'NI Multisim', 'Neural Networks', 'OpenCV', 'Proteus Design Suite', 'Arduino', 'Artifical Intelligence', 'R Programming', 'Algorithms', 'C Programming', 'Computer Networking', 'Data Structures', 'Database Management System (DBMS)', 'Java', 'Python', 'Amazon Web Services (AWS)', 'Bootstrap', 'Cloud Computing', 'Linux', 'Machine Learning', 'PHP', 'MS-Office', 'Machine Learning', 'C Programming', 'Catia', 'Neural Networks', 'Python', 'R Programming', 'SAS', 'SQL', 'Data Structures', 'Machine Learning', 'Database Management System (DBMS)', 'Natural Language Processing (NLP)', 'Neural Networks', 'Python', 'R Programming', 'SQL', 'Statistical Modeling', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'Python', 'R Programming', 'SAS', 'SQL', 'Statistical Modeling', 'GitHub', 'Linux', 'Python', 'Visual Basic (VB)', 'C++ Programming', 'Java', 'JavaScript', 'SQL', 'MS-Office', 'MS-PowerPoint', 'Python', 'SQL', 'Data Analytics', 'Python', 'R Programming', 'R Programming', 'BIG DATA ANALYTICS', 'Java', 'Machine Learning', 'Python', 'C Programming', 'Python', 'Adobe Illustrator', 'Java', 'Adobe Photoshop', 'C Programming', 'HTML', 'Java', 'Python', 'Android', 'Data Analytics', 'Data Science', 'Golang', 'JSP', 'Machine Learning', 'R Programming', 'REST API', 'Software Testing', 'Algorithms', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'Java', 'Linux', 'Python', 'Algorithms', 'C Programming', 'C++ Programming', 'CSS', 'Data Analytics', 'Data Structures', 'HTML', 'Java', 'JavaScript', 'Linux', 'Machine Learning', 'Python', 'Data Analytics', 'MS-Office', 'Python', 'Algorithms', 'Data Science', 'Data Structures', 'Database Management System (DBMS)', 'GitHub', 'MS-Excel', 'Machine Learning', 'Mathematics', 'OpenCV', 'SQL', 'Statistical Modeling', 'Natural Language Processing (NLP)', 'Adobe Photoshop', 'HTML', 'Photography', 'Python', 'Adobe Illustrator', 'CSS', 'Java', 'Software Testing', 'English Proficiency (Spoken)', 'Machine Learning', 'Python', 'SQL', 'Deep Learning', 'Natural Language Processing (NLP)', 'Arduino', 'C Programming', 'C++ Programming', 'Catia', 'Python', 'Raspberry Pi', 'C Programming', 'C++ Programming', 'Cloud Computing', 'Data Analytics', 'Data Science', 'Photography', 'Python', 'Mathematics', 'Data Analytics', 'English Proficiency (Written)', 'MS-Office', 'Python', 'R Programming', 'Computer Vision', 'Image Processing', 'Machine Learning', 'Python', 'English Proficiency (Spoken)', 'MS-Excel', 'English Proficiency (Written)', 'Machine Learning', 'Python', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'MySQL', 'C Programming', 'HTML', 'Python', 'CSS', 'Data Science', 'MS-PowerPoint', 'MS-Word', 'Machine Learning', 'Python', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'OpenCV', 'Python', 'R Programming', 'Artifical Intelligence', 'Deep Learning', 'Deep Learning', 'MS-Excel', 'Machine Learning', 'Python', 'C Programming', 'C++ Programming', 'Deep Learning', 'Machine Learning', 'Python', 'SQL', 'Algorithms', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'HTML', 'Machine Learning', 'Python', 'Computer Vision', 'Data Analytics', 'Machine Learning', 'Python', 'SQL', 'MS-Excel', 'Java', 'Machine Learning', 'Python', 'Data Analytics', 'English Proficiency (Spoken)', 'Financial Modeling', 'MS-Excel', 'Accounting', 'Digital Marketing', 'R Programming', 'Data Science', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'Artifical Intelligence', 'R Programming', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'Event Management', 'C Programming', 'Data Analytics', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'Machine Learning', 'Physics', 'Python', 'SQL', 'Statistical Modeling', 'English Proficiency (Spoken)', 'Catia', 'MS-Office', 'C Programming', 'C++ Programming', 'Data Analytics', 'Java', 'Machine Learning', 'Python', 'MS-Excel', 'SQL', 'Machine Learning', 'Python', 'R Programming', 'Amazon Web Services (AWS)', 'Data Science', 'Python', 'English Proficiency (Spoken)', 'MS-Excel', 'Data Analytics', 'Python', 'Deep Learning', 'Machine Learning', 'C++ Programming', 'Java', 'Blockchain', 'C Programming', 'Python', 'Servlets', 'AJAX', 'CSS', 'Data Science', 'HTML', 'J2EE', 'JavaScript', 'Machine Learning', 'Neural Networks', 'SQL', 'Algorithms', 'Data Analytics', 'Data Structures', 'MS-Excel', 'Machine Learning', 'Mathematics', 'Python', 'Machine Learning', 'Python', 'Data Analytics', 'Power BI', 'SQL', 'Data Analytics', 'English Proficiency (Spoken)', 'Machine Learning', 'Python', 'Data Analytics', 'Linear Programming', 'MS-Excel', 'Machine Learning', 'Python', 'SQL', 'Statistical Modeling', 'Data Analytics', 'MS-Office', 'Python', 'R Programming', 'SAS', 'Data Analytics', 'Data Science', 'Python', 'R Programming', 'SAS', 'R Programming', 'MS-Excel', 'MS-PowerPoint', 'MS-Word', 'Python', 'Hadoop', 'Java', 'Linux', 'Machine Learning', 'CSS', 'HTML', 'Adobe Dreamweaver', 'BIG DATA ANALYTICS', 'C Programming', 'Computer Networking', 'Computer Networks', 'Data Analytics', 'Deep Learning', 'Image Processing', 'Machine Learning', 'MongoDB', 'NoSQL', 'SQL', 'C++ Programming', 'Data Structures', 'Ethical Hacking', 'R Programming', 'Data Analytics', 'Deep Learning', 'Machine Learning', 'MySQL', 'Python', 'Statistical Modeling', 'Python', 'Data Analytics', 'Data Science', 'Java', 'Machine Learning', 'Computer Vision', 'Data Analytics', 'MS-Excel', 'MySQL', 'Python', 'HTML', 'C Programming', 'CSS', 'Data Analytics', 'Java', 'MS-Excel', 'MySQL', 'PHP', 'Python', 'R Programming', 'Machine Learning', 'Algorithms', 'Articulate Storyline', 'Audacity', 'AutoCAD', 'Data Analytics', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'SQL', 'Data Analytics', 'Data Science', 'MS-Excel', 'Machine Learning', 'R Programming', 'MongoDB', 'Python', 'Statistical Modeling', 'Tableau', 'MS-Excel', 'Machine Learning', 'Python', 'SQL', 'MS-Excel', 'Python', 'Machine Learning', 'Machine Learning', 'Data Analytics', 'Deep Learning', 'MySQL', 'Natural Language Processing (NLP)', 'Neural Networks', 'Python', 'OpenCV', 'Deep Learning', 'Java', 'Machine Learning', 'Python', 'MS-PowerPoint', 'MS-Word', 'Data Analytics', 'Python', 'SQL', 'English Proficiency (Spoken)', 'Java', 'MS-Excel', 'SQL', 'Data Analytics', 'Machine Learning', 'Python', 'MS-Excel', 'R Programming', 'Data Structures', 'Python', 'SQL', 'MS-Excel', 'PostgreSQL', 'Python', 'SAS', 'BIG DATA ANALYTICS', 'GitHub', 'Natural Language Processing (NLP)', 'OpenCV', 'Deep Learning', 'MongoDB', 'C Programming', 'Image Processing', 'Java', 'Machine Learning', 'Python', 'Neural Networks', 'SQL', 'Computer Vision', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Neural Networks', 'OpenCV', 'Python', 'C Programming', 'Data Science', 'Database Management System (DBMS)', 'HTML', 'Machine Learning', 'OpenCV', 'Python', 'Django', 'MySQL', 'Python', 'Data Structures', 'Flask', 'SQL', 'R Programming', 'HTML', 'MS-Office', 'Adobe Flash', 'Algorithms', 'C++ Programming', 'Data Structures', 'Eclipse (IDE)', 'GitHub', 'Java', 'Linux', 'Machine Learning', 'MySQL', 'Node.js', 'PHP', 'Robotics', 'Software Testing', 'Android', 'Kotlin', 'Python', 'Python', 'Algorithms', 'Data Structures', 'Django', 'Machine Learning', 'Statistical Modeling', 'Algorithms', 'C++ Programming', 'Data Structures', 'Deep Learning', 'Machine Learning', 'OpenCV', 'Python', 'C Programming', 'Java', 'MS-Word', 'Python', 'Cloud Computing', 'Django', 'Image Processing', 'MS-Office', 'SQL', 'JavaScript', 'PHP', 'Adobe Photoshop', 'MS-Office', 'ANSYS', 'Adobe Illustrator', 'Java', 'MATLAB', 'SPSS', 'Data Analytics', 'Machine Learning', 'Python', 'Data Science', 'Image Processing', 'Python', 'C Programming', 'C++ Programming', 'Catia', 'Data Analytics', 'Data Science', 'MS-Excel', 'MS-Office', 'MySQL', 'SAP', 'SolidWorks', 'Algorithms', 'Python', 'R Programming', 'Statistical Modeling', 'Tableau', 'C Programming', 'C++ Programming', 'MySQL', 'Neural Networks', 'Oracle', 'Python', 'Data Analytics', 'Data Science', 'Deep Learning', 'Machine Learning', 'MS-Excel', 'Python', 'R Programming', 'SQL', 'MS-Excel', 'SQL', 'Machine Learning', 'Python', 'R Programming', 'Data Analytics', 'Database Management System (DBMS)', 'Python', 'Machine Learning', 'CSS', 'HTML', 'JavaScript', 'jQuery', '.NET', 'ASP.NET', 'Adobe Photoshop Lightroom CC', 'C#.NET', 'Machine Learning', 'Python', 'R Programming', 'SQL', 'Artifical Intelligence', 'MS-Excel', 'Machine Learning', 'Natural Language Processing (NLP)', 'Neural Networks', 'Python', 'R Programming', 'C++ Programming', 'Java', 'Adobe XD', 'Data Science', 'Python', 'Algorithms', 'Data Structures', 'Java', 'Artifical Intelligence', 'Machine Learning', 'Neural Networks', 'Data Analytics', 'Machine Learning', 'Deep Learning', 'Machine Learning', 'OpenCV', 'C++ Programming', 'Computer Vision', 'Java', 'MySQL', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'Statistical Modeling', 'BIG DATA ANALYTICS', 'C Programming', 'Deep Learning', 'Machine Learning', 'Python', 'Data Analytics', 'Natural Language Processing (NLP)', 'MS-Excel', 'MS-Office', 'MS-Word', 'Deep Learning', 'GNU Octave', 'MATLAB', 'Machine Learning', 'Neural Networks', 'Python', 'R Programming', 'Java', 'SQL', 'Data Analytics', 'Machine Learning', 'Artifical Intelligence', 'Deep Learning', 'Natural Language Processing (NLP)', 'Python', 'Computer Vision', 'Image Processing', 'C++ Programming', 'Hadoop', 'Machine Learning', 'BIG DATA ANALYTICS', 'Deep Learning', 'MS-Excel', 'Neural Networks', 'Python', 'R Programming', 'SAS', 'Data Analytics', 'English Proficiency (Spoken)', 'MS-Excel', 'Machine Learning', 'Python', 'C Programming', 'Data Analytics', 'Machine Learning', 'Python', 'Deep Learning', 'Java', 'Natural Language Processing (NLP)', 'SQL', 'JavaScript', 'SQL', 'C Programming', 'CSS', 'Data Analytics', 'Data Structures', 'Database Management System (DBMS)', 'Deep Learning', 'HTML', 'Image Processing', 'Java', 'MS-Excel', 'Machine Learning', 'Natural Language Processing (NLP)', 'Node.js', 'PHP', 'Power BI', 'Python', 'R Programming', 'User Interface (UI) Development', 'Machine Learning', 'R Programming', 'C Programming', 'C++ Programming', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'Python', 'R Programming', 'SQL', 'MySQL', 'Java', 'SQL', 'Data Analytics', 'MS-Excel', 'Machine Learning', 'Python', 'CSS', 'HTML', 'Arduino', 'Bootstrap', 'C Programming', 'Deep Learning', 'GitHub', 'Java', 'Machine Learning', 'Python', 'User Interface (UI) Development', 'Algorithms', 'Android', 'JavaScript', 'C++ Programming', 'Python', 'CSS', 'HTML', 'Java', 'JavaScript', 'SQL', 'Machine Learning', 'Python', 'Deep Learning', 'Machine Learning', 'Neural Networks', 'PostgreSQL', 'Python', 'Flask', 'MATLAB', 'MongoDB', 'R Programming', 'CSS', 'HTML', 'MS-Excel', 'MS-PowerPoint', 'PHP', 'Python', 'SPSS', 'SQL', 'WordPress', 'Machine Learning', 'C Programming', 'C++ Programming', 'Computer Vision', 'Data Analytics', 'Data Science', 'Deep Learning', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'Statistical Modeling', 'MS-Excel', 'Python', 'R Programming', 'Data Analytics', 'MS-Office', 'MS-Excel', 'Machine Learning', 'Neural Networks', 'Python', 'Statistical Modeling', 'Adobe Photoshop', 'Deep Learning', 'SQL', 'Android', 'C++ Programming', 'Java', 'Python', 'Machine Learning', 'Natural Language Processing (NLP)', 'SQL', 'Data Analytics', 'HTML', 'MS-Excel', 'MS-PowerPoint', 'MS-Word', 'Database Management System (DBMS)', 'Mathematics', 'MySQL', 'PHP', 'REST API', 'Software Testing', 'Python', 'Statistical Modeling', 'Python', 'Tableau', 'Deep Learning', 'Machine Learning', 'Machine Learning', 'Microsoft Azure', 'Python', 'R Programming', 'Data Analytics', 'English Proficiency (Spoken)', 'ANSYS', 'C Programming', 'MS-Excel', 'Machine Learning', 'Python', 'SQL', 'Statistical Modeling', 'CSS', 'HTML', 'REST API', 'AJAX', 'ASP.NET', 'Angular 2.0', 'C#', 'GitHub', 'JavaScript', 'jQuery', 'Artifical Intelligence', 'Machine Learning', 'Data Analytics', 'MS-PowerPoint', 'MS-Word', 'Machine Learning', 'Statistical Modeling', 'Algorithms', 'Data Structures', 'Database Management System (DBMS)', 'MS-Excel', 'MySQL', 'Python', 'SQL', 'Deep Learning', 'Power BI', 'Software Testing', 'MS-Excel', 'MS-Office', 'Python', 'C Programming', 'C++ Programming', 'CSS', 'Data Analytics', 'Database Management System (DBMS)', 'Email Marketing', 'HTML', 'Java', 'MS-PowerPoint', 'MS-Word', 'Machine Learning', 'MySQL', 'R Programming', 'SQL', 'Artifical Intelligence', 'Deep Learning', 'Neural Networks', 'WordPress', 'English Proficiency (Spoken)', 'MS-Excel', 'Python', 'Data Analytics', 'Machine Learning', 'Algorithms', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'Deep Learning', 'Python', 'Android', 'Computer Vision', 'Image Processing', 'OpenCV', 'Python', 'Machine Learning', 'Android', 'Bootstrap', 'C++ Programming', 'CSS', 'HTML', 'Java', 'Angular 2.0', 'Firebase', 'JavaScript', 'Python', 'HTML', 'Java', 'Python', 'C++ Programming', 'Data Structures', 'Python', 'SQL', 'Java', 'English Proficiency (Spoken)', 'MS-Office', '.NET', 'Digital Marketing', 'SAP', 'English Proficiency (Spoken)', 'MS-Excel', 'Machine Learning', 'Python', 'Data Analytics', 'SQL', 'Flask', 'MS-Excel', 'Machine Learning', 'Python', 'CSS', 'Data Analytics', 'GitHub', 'HTML', 'MongoDB', 'MySQL', 'SQL', 'Deep Learning', 'MS-Excel', 'Machine Learning', 'Python', 'Statistical Modeling', 'AutoCAD', 'MS-Excel', 'Deep Learning', 'Machine Learning', 'MySQL', 'Python', 'R Programming', 'SolidWorks', 'Statistical Modeling', 'MS-Excel', 'HTML', 'Python', 'SQL', 'Data Analytics', 'Machine Learning', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'SQL', 'Statistical Modeling', 'Computer Vision', 'Data Analytics', 'Machine Learning', 'Python', 'C Programming', 'C++ Programming', 'Database Management System (DBMS)', 'Deep Learning', 'MS-Excel', 'MySQL', 'Natural Language Processing (NLP)', 'Neural Networks', 'R Programming', 'Statistical Modeling', 'Computer Vision', 'Data Analytics', 'Image Processing', 'Machine Learning', 'Mathematics', 'MongoDB', 'Natural Language Processing (NLP)', 'Python', 'R Programming', 'Statistical Modeling', 'Cloud Computing', 'Hadoop', 'MySQL', 'CSS', 'Bootstrap', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'Django', 'HTML', 'Java', 'JavaScript', 'PHP', 'Python', 'Machine Learning', 'Adobe Photoshop', 'C Programming', 'C++ Programming', 'CSS', 'HTML', 'JavaScript', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'Microsoft Visual Studio', 'MySQL', 'PHP', 'SQL', 'Shell Scripting', 'Computer Networking', 'Data Structures', 'Database Management System (DBMS)', 'Flutter', 'Java', 'Linux', 'MS SQL Server', 'Perl', 'WordPress', 'C Programming', 'C++ Programming', 'Data Analytics', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'Hindi Proficiency (Spoken)', 'Hindi Proficiency (Written)', 'Photography', 'Python', 'Algorithms', 'Angular 7.0', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'JavaScript', 'MATLAB', 'Machine Learning', 'MySQL', 'SQL', 'Computer Vision', 'OpenCV', 'Telugu Proficiency (Written)', 'WordPress', 'Android', 'AutoCAD', 'C Programming', 'Computer Networking', 'Database Management System (DBMS)', 'HTML', 'Python', 'Social Media Marketing', 'Windows Mobile Application Development', 'Amazon Web Services (AWS)', 'Java', 'Arduino', 'C Programming', 'C++ Programming', 'Firebase', 'HTML', 'MongoDB', 'Node.js', 'Python', 'ReactJS', 'Redux', 'jQuery', 'CSS', 'Django', 'JavaScript', 'C Programming', 'C++ Programming', 'HTML', 'Java', 'Python', 'ASP.NET', 'CSS', 'SQL', 'JavaScript', 'PHP', 'Java', 'Android', 'C++ Programming', 'Android', 'C Programming', 'HTML', 'Java', 'User Interface (UI) Development', 'Android', 'CSS', 'HTML', 'Java', 'MS-Word', 'C Programming', 'CSS', 'Embedded Systems', 'HTML', 'JavaScript', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'ReactJS', 'C Programming', 'Java', 'Python', 'Android', 'Android', 'HTML', 'Java', 'Python', 'PHP', 'C Programming', 'C++ Programming', 'CSS', 'HTML', 'Python', 'Artifical Intelligence', 'Java', 'JavaScript', 'Machine Learning', 'PHP', 'C Programming', 'C++ Programming', 'Java', 'PHP', 'Python', 'MySQL', 'NoSQL', 'C Programming', 'Android', 'Java', 'Python', 'SQL', 'Search Engine Optimization (SEO)', 'UI & UX Design', 'User Interface (UI) Development', 'Visual Basic (VB)', 'Adobe Dreamweaver', 'Amazon Web Services (AWS)', 'C#.NET', 'CSS', 'Creative Writing', 'Eclipse (IDE)', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'HTML', 'Hindi Proficiency (Written)', 'JSP', 'MS SQL Server', 'MS-Excel', 'MS-Office', 'Magento', 'MySQL', 'Python', 'Servlets', 'Teaching', 'WordPress', 'AJAX', 'ASP.NET', 'Android', 'AngularJS', 'Bootstrap', 'C++ Programming', 'Data Structures', 'Django', 'Java', 'JavaScript', 'Machine Learning', 'NoSQL', 'SQLite', 'XML', 'jQuery', '.NET', 'Android', 'C Programming', 'C#', 'CSS', 'HTML', 'PHP', 'Java', 'C Programming', 'Android', 'Angular 7.0', 'C++ Programming', 'CSS', 'HTML', 'J2EE', 'Java', 'SQL', 'Django', 'JavaScript', 'Python', 'C Programming', 'HTML', 'MS-Office', 'MS-PowerPoint', 'Python', 'CSS', 'Django', 'CSS', 'HTML', 'JavaScript', 'Manual Testing', 'MySQL', 'PHP', 'Software Testing', 'ReactJS', 'CSS', 'HTML', 'Amazon Web Services (AWS)', 'Android', 'AngularJS', 'Bootstrap', 'C Programming', 'C++ Programming', 'GitHub', 'Internet of Things (IoT)', 'Java', 'JavaScript', 'Linux', 'MS-Excel', 'Manual Testing', 'MongoDB', 'MySQL', 'NoSQL', 'Node.js', 'PHP', 'SQLite', 'Software Testing', 'UI & UX Design', 'Unix', 'Machine Learning', 'Python', 'jQuery', 'Android', 'C Programming', 'C++ Programming', 'Java', 'MS-Office', 'MS-PowerPoint', 'Python', 'C Programming', 'CSS', 'Database Management System (DBMS)', 'HTML', 'Java', 'SQL', 'XML', 'Android', 'Python', 'Amazon Web Services (AWS)', 'C Programming', 'CSS', 'Data Structures', 'Database Management System (DBMS)', 'Java', 'JavaScript', 'MySQL', 'Python', 'Computer Networking', 'Data Analytics', 'Linux', 'R Programming', 'SAP', 'HTML', 'Java', 'CSS', 'HTML', 'Python', 'SQL', 'JavaScript', 'Android', 'Java', 'C Programming', 'C++ Programming', 'HTML', 'Java', 'JavaScript', 'PHP', 'Android', 'CSS', 'Django', 'Python', 'R Programming', 'Android', 'CSS', 'HTML', 'Java', 'PHP', 'Algorithms', 'C Programming', 'C++ Programming', 'Data Structures', 'Android', 'CSS', 'Flask', 'HTML', 'Java', 'MATLAB', 'Python', 'C Programming', 'CSS', 'HTML', 'JavaScript', 'PHP', 'Android', 'CSS', 'HTML', 'Java', 'JavaScript', 'Bootstrap', 'CSS', 'HTML', 'Angular 7.0', 'Arduino', 'Bootstrap', 'CSS', 'HTML', 'MySQL', 'Python', 'C Programming', 'Django', 'JavaScript', 'jQuery', 'Digital Marketing', 'Video Editing', 'Adobe Photoshop', 'Android', 'Machine Learning', 'Bootstrap', 'CSS', 'Java', 'MS-Office', 'MySQL', 'C++ Programming', 'HTML', 'PHP', 'Adobe Photoshop', 'C Programming', 'C++ Programming', 'CSS', 'Computer Networking', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'Linux', 'MS SQL Server', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'Microsoft Visual Studio', 'PHP', 'SQL', 'Swing (Java)', 'Visual Basic (VB)', 'Perl', 'C Programming', 'C++ Programming', 'HTML', 'MySQL', '.NET', 'Bootstrap', 'CSS', 'Data Structures', 'Java', 'JavaScript', 'Node.js', 'PHP', 'Python', 'Visual Basic (VB)', 'Adobe Photoshop', 'Android', 'Java', 'MS-Office', '3ds Max', '.NET', 'C++ Programming', 'Embedded Systems', 'Java', 'Raspberry Pi', 'VHDL', 'Algorithms', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'PHP', 'SQL', 'CSS', 'Linux', 'Python', 'jQuery', 'HTML', 'Java', 'JavaScript', 'ASP.NET', 'Android', 'C#.NET', 'Java', 'Python', 'C Programming', 'Java', 'Python', 'Android', 'Bootstrap', 'C Programming', 'CSS', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'Linux', 'MS-Office', 'MySQL', 'PHP', 'React Native', 'SQL', 'C++ Programming', 'GitHub', 'LARAVEL', 'MATLAB', 'Python', 'Database Management System (DBMS)', 'HTML', 'Python', 'SQL', 'CSS', 'Cloud Computing', 'HTML', 'PHP', 'Python', 'Android', 'JavaScript', 'CSS', 'HTML', 'JavaScript', 'Python', 'Android', 'C Programming', 'C++ Programming', 'Python', 'User Interface (UI) Development', 'C Programming', 'C++ Programming', 'JavaScript', 'CSS', 'HTML', 'Java', 'PHP', 'Python', '.NET', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'HTML', 'Java', 'PHP', 'Model View Controller(MVC)', 'Data Structures', 'Eclipse (IDE)', 'Java', 'Algorithms', 'C Programming', 'C++ Programming', 'HTML', 'MS-Office', 'SQL', 'Swing (Java)', 'Data Structures', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'HTML', 'Java', 'Model View Controller(MVC)', 'PHP', '.NET', 'ASP.NET', 'Android', 'Java', 'Android', 'C Programming', 'C++ Programming', 'HTML', 'Java', 'HTML', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'Java', 'PHP', 'Python', 'Bootstrap', 'PHP', 'Python', 'CSS', 'HTML', 'Java', 'Android', 'JavaScript', 'Java', 'Arduino', 'C++ Programming', 'C Programming', 'Adobe Creative Suite', 'Android', 'C++ Programming', 'Dart', 'Flutter', 'Java', 'C Programming', 'C++ Programming', 'Data Structures', 'HTML', 'Java', 'SQL', 'Android', 'C#', 'Python', 'Bootstrap', 'CSS', 'HTML', 'AngularJS', 'ElectronJS', 'JavaScript', 'Python', 'jQuery', 'CSS', 'HTML', 'Java', 'JavaScript', 'MySQL', 'Algorithms', 'Android', 'C Programming', 'C++ Programming', 'Data Structures', 'PHP', 'English Proficiency (Written)', 'C Programming', 'C++ Programming', 'Embedded Systems', 'English Proficiency (Spoken)', 'Java', 'PHP', 'C Programming', 'Data Structures', 'Java', 'C Programming', 'Cloud Computing', 'HTML', 'SQL', 'Algorithms', 'Android', 'C++ Programming', 'Java', 'JavaScript', 'MySQL', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'HTML', 'Hibernate (Java)', 'Java', 'JavaScript', 'MySQL', 'PHP', 'Spring MVC', 'Bengali Proficiency (Spoken)', 'Bengali Proficiency (Written)', 'Hindi Proficiency (Spoken)', 'C Programming', 'C#.NET', 'C++ Programming', 'Data Structures', 'Java', 'Python', 'SQL', 'Android', 'CSS', 'Data Analytics', 'Database Management System (DBMS)', 'HTML', 'Internet of Things (IoT)', 'JavaScript', 'Machine Learning', 'MS-Word', 'C Programming', 'CSS', 'Embedded Systems', 'HTML', 'JavaScript', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'ReactJS', 'Embedded Systems', 'C Programming', 'Internet of Things (IoT)', 'Python', 'Java', '.NET', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'HTML', 'Java', 'PHP', 'Model View Controller(MVC)', 'Data Structures', 'Eclipse (IDE)', 'Java', 'Algorithms', 'C Programming', 'C++ Programming', 'HTML', 'MS-Office', 'SQL', 'Swing (Java)', 'Data Structures', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'HTML', 'Java', 'Model View Controller(MVC)', 'PHP', '.NET', 'ASP.NET', 'Android', 'Java', 'Android', 'C Programming', 'C++ Programming', 'HTML', 'Java', 'HTML', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'Java', 'PHP', 'Python', 'Bootstrap', 'PHP', 'Python', 'CSS', 'HTML', 'Java', 'Android', 'JavaScript', 'Java', 'Arduino', 'C++ Programming', 'C Programming', 'Adobe Creative Suite', 'Android', 'C++ Programming', 'Dart', 'Flutter', 'Java', 'C Programming', 'C++ Programming', 'Data Structures', 'HTML', 'Java', 'SQL', 'Android', 'C#', 'Python', 'Bootstrap', 'CSS', 'HTML', 'AngularJS', 'ElectronJS', 'JavaScript', 'Python', 'jQuery', 'CSS', 'HTML', 'Java', 'JavaScript', 'MySQL', 'Algorithms', 'Android', 'C Programming', 'C++ Programming', 'Data Structures', 'PHP', 'English Proficiency (Written)', 'C Programming', 'C++ Programming', 'Embedded Systems', 'English Proficiency (Spoken)', 'Java', 'PHP', 'C Programming', 'Data Structures', 'Java', 'C Programming', 'Cloud Computing', 'HTML', 'SQL', 'Algorithms', 'Android', 'C++ Programming', 'Java', 'JavaScript', 'MySQL', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'HTML', 'Hibernate (Java)', 'Java', 'JavaScript', 'MySQL', 'PHP', 'Spring MVC', 'Bengali Proficiency (Spoken)', 'Bengali Proficiency (Written)', 'Hindi Proficiency (Spoken)', 'C Programming', 'C#.NET', 'C++ Programming', 'Data Structures', 'Java', 'Python', 'SQL', 'Android', 'CSS', 'Data Analytics', 'Database Management System (DBMS)', 'HTML', 'Internet of Things (IoT)', 'JavaScript', 'Machine Learning', 'MS-Word', 'C Programming', 'CSS', 'Embedded Systems', 'HTML', 'JavaScript', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'ReactJS', 'Embedded Systems', 'C Programming', 'Internet of Things (IoT)', 'Python', 'Java', 'CSS', 'HTML', 'JavaScript', 'PHP', 'CSS', 'Data Structures', 'HTML', 'JavaScript', 'AngularJS', 'C#', 'MySQL', 'Python', 'SQL', 'C Programming', 'Android', 'Angular 7.0', 'C++ Programming', 'CSS', 'HTML', 'J2EE', 'Java', 'SQL', 'Django', 'JavaScript', 'Python', '.NET', 'ASP.NET', 'Adobe Photoshop', 'C#', 'C++ Programming', 'CSS', 'HTML', 'Java', 'JavaScript', 'MS-Office', 'Visual Basic (VB)', 'Linux', 'Python', 'C Programming', 'C++ Programming', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'HTML', 'Hindi Proficiency (Spoken)', 'Hindi Proficiency (Written)', 'Internet of Things (IoT)', 'Java', 'JavaScript', 'Punjabi Proficiency (Spoken)', 'Punjabi Proficiency (Written)', 'Python', 'MySQL', 'Android', 'C#', 'C++ Programming', 'HTML', 'Java', 'MySQL', 'XML', 'C Programming', 'C++ Programming', 'Python', 'Algorithms', 'Data Structures', 'Java', 'MS-Excel', 'Power BI', 'Python', 'BIG DATA ANALYTICS', 'Deep Learning', 'Machine Learning', 'SQL', 'C Programming', 'Data Structures', 'HTML', 'C++ Programming', 'CSS', 'Java', 'JavaScript', 'PHP', 'Python', 'Database Management System (DBMS)', 'CSS', 'HTML', 'Python', 'SQL', 'JavaScript', 'Adobe XD', 'C Programming', 'C++ Programming', 'Java', 'HTML', 'UI & UX Design', 'Wireframing', 'English Proficiency (Spoken)', 'HTML', 'MS-Office', 'MS-PowerPoint', 'Python', 'Adobe Photoshop', 'Adobe Premiere Pro', 'C Programming', 'CSS', 'Data Structures', 'JavaScript', 'Search Engine Marketing (SEM)', 'Software Testing', 'CSS', 'HTML', 'JavaScript', 'PHP', 'WordPress', 'C Programming', 'CSS', 'HTML', 'Java', 'JavaScript', 'MySQL', 'C++ Programming', 'Photography', 'Java', 'Linux', 'Java', 'Software Testing', 'Android', 'Ethical Hacking', 'Python', 'C Programming', 'Java', 'Python', 'HTML', 'Android', 'C Programming', 'C++ Programming', 'CSS', 'Java', 'PHP', 'Python', 'WordPress', 'C Programming', 'Data Analytics', 'Data Structures', 'JavaScript', 'Python', 'React Native', 'SQL', 'C Programming', 'CSS', 'Database Management System (DBMS)', 'HTML', 'Java', 'SQL', 'XML', 'HTML', 'Java', 'SQL', 'Software Testing', 'CSS', 'HTML', 'Java', 'JavaScript', 'MySQL', 'Node.js', 'ReactJS', 'Python', 'CSS', 'HTML', 'Java', 'C Programming', 'Firebase', 'JavaScript', 'MySQL', 'MS-Office', 'Algorithms', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'MS-Excel', 'MS-PowerPoint', 'AJAX', 'Linux', 'Python', 'MS-Word', 'C Programming', 'CSS', 'Embedded Systems', 'HTML', 'JavaScript', 'MS-Excel', 'MS-Office', 'MS-PowerPoint', 'ReactJS', 'MS-Excel', 'MS-PowerPoint', 'MS-Word', 'Adobe Photoshop', 'BIG DATA ANALYTICS', 'Bootstrap', 'C Programming', 'C++ Programming', 'CSS', 'Data Structures', 'Database Management System (DBMS)', 'ERP Implementation and Deployment', 'HTML', 'Java', 'JavaScript', 'Machine Learning', 'MySQL', 'PHP', 'Photography', 'Python', 'SQL', 'Software Testing', 'Video Editing', 'C Programming', 'C++ Programming', 'Eclipse (IDE)', 'Java', 'Android', 'C#.NET', 'C Programming', 'Java', 'SQL', 'AngularJS', 'Java', 'Node.js', 'Python', 'Algorithms', 'C Programming', 'CSS', 'Data Structures', 'HTML', 'Java', 'JavaScript', 'Manual Testing', 'MySQL', 'Robotics', 'Android', 'Hibernate (Java)', 'J2EE', 'Python', 'Java', 'PHP', 'Python', 'C Programming', 'C++ Programming', 'HTML', 'CSS', 'Data Structures', 'Java', 'JavaScript', 'SQL', 'Django', 'C Programming', 'C++ Programming', 'Java', 'PHP', 'Python', 'MySQL', 'NoSQL', 'C Programming', 'Android', 'Java', 'Python', 'SQL', 'Search Engine Optimization (SEO)', 'UI & UX Design', 'User Interface (UI) Development', 'Visual Basic (VB)', 'Adobe Dreamweaver', 'Amazon Web Services (AWS)', 'C#.NET', 'CSS', 'Creative Writing', 'Eclipse (IDE)', 'English Proficiency (Spoken)', 'English Proficiency (Written)', 'HTML', 'Hindi Proficiency (Written)', 'JSP', 'MS SQL Server', 'MS-Excel', 'MS-Office', 'Magento', 'MySQL', 'Python', 'Servlets', 'Teaching', 'WordPress', 'AJAX', 'ASP.NET', 'Android', 'AngularJS', 'Bootstrap', 'C++ Programming', 'Data Structures', 'Django', 'Java', 'JavaScript', 'Machine Learning', 'NoSQL', 'SQLite', 'XML', 'jQuery', '.NET', 'Android', 'C Programming', 'C#', 'CSS', 'HTML', 'PHP', 'Java', 'C Programming', 'C++ Programming', 'CSS', 'HTML', 'Java', 'SQL', 'J2EE', 'JavaScript', 'PHP', 'Python', 'C Programming', 'HTML', 'MS-Office', 'MS-PowerPoint', 'Python', 'CSS', 'Django', 'CSS', 'HTML', 'JavaScript', 'Manual Testing', 'MySQL', 'PHP', 'Software Testing', 'CSS', 'HTML', 'Amazon Web Services (AWS)', 'Android', 'AngularJS', 'Bootstrap', 'C Programming', 'C++ Programming', 'GitHub', 'Internet of Things (IoT)', 'Java', 'JavaScript', 'Linux', 'MS-Excel', 'Manual Testing', 'MongoDB', 'MySQL', 'NoSQL', 'Node.js', 'PHP', 'SQLite', 'Software Testing', 'UI & UX Design', 'Unix', 'Machine Learning', 'Python', 'jQuery', 'HTML', 'JavaScript', 'CSS', 'MongoDB', 'Node.js', 'ReactJS', 'Android', 'C Programming', 'C++ Programming', 'Java', 'MS-Office', 'MS-PowerPoint', 'Python', 'C Programming', 'CSS', 'Database Management System (DBMS)', 'HTML', 'Java', 'SQL', 'XML', 'Android', 'Python', 'Amazon Web Services (AWS)', 'C Programming', 'CSS', 'Data Structures', 'Database Management System (DBMS)', 'Java', 'JavaScript', 'MySQL', 'Python', 'AngularJS', 'Computer Networking', 'Data Analytics', 'Linux', 'R Programming', 'SAP', 'HTML', 'Java', 'CSS', 'HTML', 'Python', 'SQL', 'JavaScript', 'Android', 'Java', 'C Programming', 'C++ Programming', 'Android', 'CSS', 'Django', 'HTML', 'Java', 'JavaScript', 'PHP', 'Python', 'R Programming', 'Android', 'CSS', 'HTML', 'Java', 'MySQL', 'PHP', 'Algorithms', 'C Programming', 'C++ Programming', 'Data Structures', 'Android', 'CSS', 'Flask', 'HTML', 'Java', 'MATLAB', 'Python', 'C Programming', 'CSS', 'HTML', 'JavaScript', 'PHP', 'Android', 'CSS', 'HTML', 'Java', 'JavaScript', 'Bootstrap', 'CSS', 'HTML', 'Angular 7.0', 'Arduino', 'Bootstrap', 'CSS', 'HTML', 'MySQL', 'Python', 'C Programming', 'Django', 'JavaScript', 'jQuery', 'Digital Marketing', 'Video Editing', 'Adobe Photoshop', 'Android', 'Machine Learning', 'Bootstrap', 'CSS', 'Java', 'MS-Office', 'MySQL', 'C++ Programming', 'HTML', 'PHP', 'Adobe Photoshop', 'C Programming', 'C++ Programming', 'CSS', 'Computer Networking', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'Linux', 'MS SQL Server', 'MS-Office', 'MS-PowerPoint', 'MS-Word', 'Microsoft Visual Studio', 'PHP', 'SQL', 'Swing (Java)', 'Visual Basic (VB)', 'Perl', 'C Programming', 'C++ Programming', 'HTML', 'MySQL', '.NET', 'Bootstrap', 'CSS', 'Data Structures', 'Java', 'JavaScript', 'Node.js', 'PHP', 'Python', 'Visual Basic (VB)', 'Adobe Photoshop', 'Android', 'Java', 'MS-Office', '3ds Max', 'Accounting', 'C Programming', 'Data Structures', 'VHDL', 'Algorithms', 'C Programming', 'Data Structures', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'PHP', 'SQL', 'CSS', 'Python', 'jQuery', 'HTML', 'Java', 'JavaScript', 'ASP.NET', 'Android', 'C#.NET', 'Java', 'Python', 'C Programming', 'Java', 'Python', 'Android', 'Bootstrap', 'C Programming', 'CSS', 'Database Management System (DBMS)', 'HTML', 'Java', 'JavaScript', 'Linux', 'MS-Office', 'MySQL', 'PHP', 'React Native', 'SQL', 'C++ Programming', 'GitHub', 'LARAVEL', 'MATLAB', 'Python', 'Database Management System (DBMS)', 'HTML', 'Python', 'SQL', 'CSS', 'Cloud Computing', 'HTML', 'PHP', 'Python', 'Android', 'JavaScript', 'CSS', 'HTML', 'JavaScript', 'Python', 'Android', 'C Programming', 'C++ Programming', 'Python', 'User Interface (UI) Development', 'C Programming', 'C++ Programming', 'JavaScript', 'CSS', 'HTML', 'Java', 'PHP', 'Python']\n",
            "2975\n",
            "{'React Native', 'Apache', 'Internet of Things (IoT)', 'Audacity', 'Telugu Proficiency (Written)', 'Database Management System (DBMS)', 'MS-PowerPoint', 'BIG DATA ANALYTICS', 'Punjabi Proficiency (Spoken)', 'Adobe XD', 'SQLite', 'Digital Signal Processing', 'Linux', 'ReactJS', 'Perl', 'Golang', 'Financial Modeling', 'Hibernate (Java)', 'J2EE', 'Python', 'JavaScript', 'Windows Mobile Application Development', 'Blockchain', 'LaTeX', 'Machine Learning', 'Java', 'SQL', 'Articulate Storyline', 'C#', 'Search Engine Marketing (SEM)', 'User Interface (UI) Development', 'Eclipse (IDE)', 'Image Processing', 'Manual Testing', 'Arduino', 'Algorithms', 'SAP', 'Photography', 'C#.NET', 'Bootstrap', 'Adobe Photoshop Lightroom CC', 'Hindi Proficiency(Spoken)', 'XML', 'Proteus Design Suite', 'Natural Language Processing (NLP)', 'ASP.NET', 'Teaching', 'Adobe Illustrator', 'Oracle', 'Cloud Computing', 'ERP Implementation and Deployment', 'HTML', 'Unix', 'Tableau', 'Six Sigma', 'Data Science', 'UI & UX Design', 'Microsoft Azure', 'Dart', 'MS-Office', 'NoSQL', 'Adobe Flash', 'WordPress', 'Power BI', 'Adobe Dreamweaver', 'Swing (Java)', 'Shell Scripting', 'Bengali Proficiency (Written)', 'Telugu Proficiency (Spoken)', 'Digital Marketing', 'Deep Learning', 'Catia', 'PHP', 'SolidWorks', '.NET', 'Flutter', 'Accounting', 'Microsoft Visual Studio', 'Angular 2.0', 'VHDL', 'Computer Vision', 'Autodesk SketchBook', 'Email Marketing', 'Adobe Photoshop', 'C Programming', 'AutoCAD', 'SPSS', 'PostgreSQL', 'Angular 7.0', 'Django', 'Creative Writing', 'LARAVEL', 'jQuery', 'Database Testing', 'Amazon Web Services (AWS)', 'Spring MVC', 'Hindi Proficiency (Spoken)', 'Artifical Intelligence', 'OpenCV', '3ds Max', 'Model View Controller(MVC)', 'MS-Word', 'Wireframing', 'NI Multisim', 'ANSYS', 'Neural Networks', 'Data Analytics', 'Punjabi Proficiency (Written)', 'Hadoop', 'Ethical Hacking', 'Physics', 'R Programming', 'REST API', 'Mathematics', 'MongoDB', 'Kotlin', 'Computer Networking', 'C++ Programming', 'Magento', 'Embedded Systems', 'GitHub', 'Google Analytics', 'Computer Networks', 'ElectronJS', 'Autodesk Inventor', 'Android', 'MATLAB', 'Linear Programming', 'JSP', 'Servlets', 'CSS', 'Adobe Premiere Pro', 'English Proficiency (Spoken)', 'AJAX', 'Data Structures', 'Visual Basic (VB)', 'AngularJS', 'Flask', 'Social Media Marketing', 'Event Management', 'Software Testing', 'Raspberry Pi', 'Bengali Proficiency (Spoken)', 'English Proficiency (Written)', 'Report Writing', 'MySQL', 'Statistical Modeling', 'Search Engine Optimization (SEO)', 'Adobe Creative Suite', 'Robotics', 'Node.js', 'Firebase', 'GNU Octave', 'SAS', 'Video Editing', 'Redux', 'Hindi Proficiency (Written)', 'MS SQL Server', 'MS-Excel'}\n",
            "159\n",
            "React Native\n",
            "Apache\n",
            "Internet of Things (IoT)\n",
            "Audacity\n",
            "Telugu Proficiency (Written)\n",
            "Database Management System (DBMS)\n",
            "MS-PowerPoint\n",
            "BIG DATA ANALYTICS\n",
            "Punjabi Proficiency (Spoken)\n",
            "Adobe XD\n",
            "SQLite\n",
            "Digital Signal Processing\n",
            "Linux\n",
            "ReactJS\n",
            "Perl\n",
            "Golang\n",
            "Financial Modeling\n",
            "Hibernate (Java)\n",
            "J2EE\n",
            "Python\n",
            "JavaScript\n",
            "Windows Mobile Application Development\n",
            "Blockchain\n",
            "LaTeX\n",
            "Machine Learning\n",
            "Java\n",
            "SQL\n",
            "Articulate Storyline\n",
            "C#\n",
            "Search Engine Marketing (SEM)\n",
            "User Interface (UI) Development\n",
            "Eclipse (IDE)\n",
            "Image Processing\n",
            "Manual Testing\n",
            "Arduino\n",
            "Algorithms\n",
            "SAP\n",
            "Photography\n",
            "C#.NET\n",
            "Bootstrap\n",
            "Adobe Photoshop Lightroom CC\n",
            "Hindi Proficiency(Spoken)\n",
            "XML\n",
            "Proteus Design Suite\n",
            "Natural Language Processing (NLP)\n",
            "ASP.NET\n",
            "Teaching\n",
            "Adobe Illustrator\n",
            "Oracle\n",
            "Cloud Computing\n",
            "ERP Implementation and Deployment\n",
            "HTML\n",
            "Unix\n",
            "Tableau\n",
            "Six Sigma\n",
            "Data Science\n",
            "UI & UX Design\n",
            "Microsoft Azure\n",
            "Dart\n",
            "MS-Office\n",
            "NoSQL\n",
            "Adobe Flash\n",
            "WordPress\n",
            "Power BI\n",
            "Adobe Dreamweaver\n",
            "Swing (Java)\n",
            "Shell Scripting\n",
            "Bengali Proficiency (Written)\n",
            "Telugu Proficiency (Spoken)\n",
            "Digital Marketing\n",
            "Deep Learning\n",
            "Catia\n",
            "PHP\n",
            "SolidWorks\n",
            ".NET\n",
            "Flutter\n",
            "Accounting\n",
            "Microsoft Visual Studio\n",
            "Angular 2.0\n",
            "VHDL\n",
            "Computer Vision\n",
            "Autodesk SketchBook\n",
            "Email Marketing\n",
            "Adobe Photoshop\n",
            "C Programming\n",
            "AutoCAD\n",
            "SPSS\n",
            "PostgreSQL\n",
            "Angular 7.0\n",
            "Django\n",
            "Creative Writing\n",
            "LARAVEL\n",
            "jQuery\n",
            "Database Testing\n",
            "Amazon Web Services (AWS)\n",
            "Spring MVC\n",
            "Hindi Proficiency (Spoken)\n",
            "Artifical Intelligence\n",
            "OpenCV\n",
            "3ds Max\n",
            "Model View Controller(MVC)\n",
            "MS-Word\n",
            "Wireframing\n",
            "NI Multisim\n",
            "ANSYS\n",
            "Neural Networks\n",
            "Data Analytics\n",
            "Punjabi Proficiency (Written)\n",
            "Hadoop\n",
            "Ethical Hacking\n",
            "Physics\n",
            "R Programming\n",
            "REST API\n",
            "Mathematics\n",
            "MongoDB\n",
            "Kotlin\n",
            "Computer Networking\n",
            "C++ Programming\n",
            "Magento\n",
            "Embedded Systems\n",
            "GitHub\n",
            "Google Analytics\n",
            "Computer Networks\n",
            "ElectronJS\n",
            "Autodesk Inventor\n",
            "Android\n",
            "MATLAB\n",
            "Linear Programming\n",
            "JSP\n",
            "Servlets\n",
            "CSS\n",
            "Adobe Premiere Pro\n",
            "English Proficiency (Spoken)\n",
            "AJAX\n",
            "Data Structures\n",
            "Visual Basic (VB)\n",
            "AngularJS\n",
            "Flask\n",
            "Social Media Marketing\n",
            "Event Management\n",
            "Software Testing\n",
            "Raspberry Pi\n",
            "Bengali Proficiency (Spoken)\n",
            "English Proficiency (Written)\n",
            "Report Writing\n",
            "MySQL\n",
            "Statistical Modeling\n",
            "Search Engine Optimization (SEO)\n",
            "Adobe Creative Suite\n",
            "Robotics\n",
            "Node.js\n",
            "Firebase\n",
            "GNU Octave\n",
            "SAS\n",
            "Video Editing\n",
            "Redux\n",
            "Hindi Proficiency (Written)\n",
            "MS SQL Server\n",
            "MS-Excel\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2-1lvf9o2O4M",
        "colab_type": "code",
        "outputId": "8574e7c7-c027-4dd1-b6b1-26505e6b22e1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "#Segregate full list in data science skills/ webdev skills / other non tech skills / tech skills\n",
        "l = ['React Native'\n",
        ",'Apache'\n",
        ",'Database Management System (DBMS)'\n",
        ",'ReactJS'\n",
        ",'JavaScript'\n",
        ",'User Interface (UI) Development'\n",
        ",'Manual Testing'\n",
        ",'Algorithms'\n",
        ",'Bootstrap'\n",
        ",'XML'\n",
        ",'ASP.NET'\n",
        ",'HTML'\n",
        ",'WordPress'\n",
        ",'NoSQL'\n",
        ",'PHP'\n",
        ",'.NET'\n",
        ",'Flutter'\n",
        ",'Microsoft Visual Studio'\n",
        ",'Angular 2.0'\n",
        ",'Angular 7.0'\n",
        ",'Django'\n",
        ",'LARAVEL'\n",
        ",'jQuery'\n",
        ",'Database Testing'\n",
        ",'Spring MVC'\n",
        ",'Model View Controller(MVC)'\n",
        ",'REST API'\n",
        ",'MongoDB'\n",
        ",'Kotlin'\n",
        ",'JSP'\n",
        ",'Servlets'\n",
        ",'CSS'\n",
        ",'AJAX'\n",
        ",'Data Structures'\n",
        ",'AngularJS'\n",
        ",'Flask'\n",
        ",'Node.js'\n",
        ",'Firebase']\n",
        "print(l)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['React Native', 'Apache', 'Database Management System (DBMS)', 'ReactJS', 'JavaScript', 'User Interface (UI) Development', 'Manual Testing', 'Algorithms', 'Bootstrap', 'XML', 'ASP.NET', 'HTML', 'WordPress', 'NoSQL', 'PHP', '.NET', 'Flutter', 'Microsoft Visual Studio', 'Angular 2.0', 'Angular 7.0', 'Django', 'LARAVEL', 'jQuery', 'Database Testing', 'Spring MVC', 'Model View Controller(MVC)', 'REST API', 'MongoDB', 'Kotlin', 'JSP', 'Servlets', 'CSS', 'AJAX', 'Data Structures', 'AngularJS', 'Flask', 'Node.js', 'Firebase']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5RCIBTjR-HfX",
        "colab_type": "code",
        "outputId": "5632762f-6ac5-4d44-a675-aa0f00da542b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(set(l))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'XML', 'React Native', 'Apache', 'Angular 7.0', 'Django', 'Database Management System (DBMS)', 'ASP.NET', 'LARAVEL', 'jQuery', 'Database Testing', 'HTML', 'JSP', 'Servlets', 'Spring MVC', 'CSS', 'ReactJS', 'AJAX', 'Data Structures', 'Model View Controller(MVC)', 'AngularJS', 'JavaScript', 'NoSQL', 'Flask', 'WordPress', 'PHP', 'User Interface (UI) Development', 'Flutter', '.NET', 'Node.js', 'Manual Testing', 'REST API', 'Microsoft Visual Studio', 'Angular 2.0', 'Firebase', 'MongoDB', 'Algorithms', 'Kotlin', 'Bootstrap'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4HOIeGi9-MSY",
        "colab_type": "code",
        "outputId": "d48ead90-cd4c-4bcb-bac3-01ba58c79b57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "s = \"Internet of Things (IoT),MS-Excel,SAS,Video Editing,Redux,Adobe Creative Suite,Raspberry Pi,GitHub,Google Analytics,Computer Networks,ElectronJS,Autodesk Inventor,Android,MATLAB,Embedded Systems,Ethical Hacking,Physics,MS-Word,Wireframing,NI Multisim,ANSYS,Creative Writing,Autodesk SketchBook,Email Marketing,Adobe Photoshop,Adobe Flash,WordPress,Power BI,Adobe Dreamweaver,Shell Scripting,Six Sigma,Unix,Adobe Illustrator,Oracle,Cloud Computing,Arduino,Digital Signal Processing,MS-PowerPoint,Perl,Golang,J2EE,Windows Mobile Application Development,Blockchain,C#,Eclipse (IDE),Microsoft Azure,C Programming,Amazon Web Services (AWS),C++ Programming,Linear Programming,Software Testing\"\n",
        "print(s.split(','))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Internet of Things (IoT)', 'MS-Excel', 'SAS', 'Video Editing', 'Redux', 'Adobe Creative Suite', 'Raspberry Pi', 'GitHub', 'Google Analytics', 'Computer Networks', 'ElectronJS', 'Autodesk Inventor', 'Android', 'MATLAB', 'Embedded Systems', 'Ethical Hacking', 'Physics', 'MS-Word', 'Wireframing', 'NI Multisim', 'ANSYS', 'Creative Writing', 'Autodesk SketchBook', 'Email Marketing', 'Adobe Photoshop', 'Adobe Flash', 'WordPress', 'Power BI', 'Adobe Dreamweaver', 'Shell Scripting', 'Six Sigma', 'Unix', 'Adobe Illustrator', 'Oracle', 'Cloud Computing', 'Arduino', 'Digital Signal Processing', 'MS-PowerPoint', 'Perl', 'Golang', 'J2EE', 'Windows Mobile Application Development', 'Blockchain', 'C#', 'Eclipse (IDE)', 'Microsoft Azure', 'C Programming', 'Amazon Web Services (AWS)', 'C++ Programming', 'Linear Programming', 'Software Testing']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m1w5eHYK_DXU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "l2 = s.split(',')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sY0Xhz8b_KFc",
        "colab_type": "code",
        "outputId": "6b3ef004-c05f-4abe-e835-67b6d282a5ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(set(l2))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'Google Analytics', 'Internet of Things (IoT)', 'Computer Networks', 'ElectronJS', 'Autodesk Inventor', 'MS-PowerPoint', 'Android', 'MATLAB', 'Creative Writing', 'Adobe Illustrator', 'Oracle', 'Cloud Computing', 'Linear Programming', 'Unix', 'Amazon Web Services (AWS)', 'Digital Signal Processing', 'Six Sigma', 'Microsoft Azure', 'Perl', 'C Programming', 'Golang', 'MS-Word', 'J2EE', 'Wireframing', 'Windows Mobile Application Development', 'Blockchain', 'Adobe Flash', 'Raspberry Pi', 'WordPress', 'Power BI', 'NI Multisim', 'ANSYS', 'Adobe Dreamweaver', 'Software Testing', 'Shell Scripting', 'Ethical Hacking', 'C#', 'Physics', 'Adobe Photoshop', 'Eclipse (IDE)', 'Adobe Creative Suite', 'Arduino', 'SAS', 'Video Editing', 'Redux', 'Autodesk SketchBook', 'Email Marketing', 'C++ Programming', 'Embedded Systems', 'MS-Excel', 'GitHub'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WYKybqas_L-c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "web_tech = l\n",
        "other_tech = l2\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R8xBDAQj_ZfJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "s2 = \"BIG DATA ANALYTICS,Financial Modeling,Hibernate (Java),Python,Machine Learning,Image Processing,Algorithms,Natural Language Processing (NLP),Tableau,Data Science,Deep Learning,Computer Vision,Artifical Intelligence,OpenCV,Neural Networks,Data Analytics,R Programming,Data Structures\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j85bPWP3_nf1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ds_tech = s2.split(',')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y9suNXBs_uq_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "s3 = \"Audacity,Telugu Proficiency (Written),Punjabi Proficiency (Spoken),Articulate Storyline,Photography,Hindi Proficiency(Spoken),Teaching,Bengali Proficiency (Written),Telugu Proficiency (Spoken),Accounting,Creative Writing,Hindi Proficiency (Spoken),Punjabi Proficiency (Written),English Proficiency (Spoken),Event Management,Social Media Marketing,Mathematics\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YC8m2JOW_8mg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "non_tech = s3.split(',')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-vW2Z2QtADTI",
        "colab_type": "code",
        "outputId": "63118514-c57a-41c6-8c18-8fb43c7d503c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        }
      },
      "source": [
        "#then from the other skills find out how many number of skills they have in each section(datascience,web dev,non tech,tech other)\n",
        "\n",
        "for i in data.index:\n",
        "  try:\n",
        "    st = data['Other skills'][i].split(',')\n",
        "    stt = []\n",
        "    web_score = 0\n",
        "    ds_score = 0\n",
        "    non_tech_score = 0\n",
        "    other_tech_score = 0\n",
        "    for e in st:\n",
        "      stt.append(e.strip())\n",
        "    for e in stt:\n",
        "      if e in web_tech:\n",
        "        web_score+=1\n",
        "      if e in ds_tech:\n",
        "        ds_score += 1\n",
        "      if e in non_tech:\n",
        "        non_tech_score += 1\n",
        "      if e in other_tech:\n",
        "        other_tech_score +=1\n",
        "      \n",
        "    data['web_score'][i] = web_score\n",
        "    data['ds_score'][i] = ds_score\n",
        "    data['non_score'][i] = non_tech_score\n",
        "    data['other_score'][i] = other_tech_score\n",
        "  except:\n",
        "    continue\n",
        "data.head()\n",
        "#drop Other skills from the dataset as now we have scores w.r.t to other skills for each section created"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:21: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:22: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        Other skills  ... other_score\n",
              "0                                      R Programming  ...           0\n",
              "1  Data Science, Machine Learning, Neural Network...  ...           1\n",
              "2  Algorithms, Data Structures, Python, C Program...  ...           3\n",
              "3  CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...           2\n",
              "4  HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...           1\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fG5aH84bDLne",
        "colab_type": "code",
        "outputId": "464f46cd-5d9a-46ee-c405-35e944d5f5d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>392.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.609937</td>\n",
              "      <td>0.195428</td>\n",
              "      <td>0.428912</td>\n",
              "      <td>0.435132</td>\n",
              "      <td>0.267007</td>\n",
              "      <td>0.158673</td>\n",
              "      <td>2.183673</td>\n",
              "      <td>2.466837</td>\n",
              "      <td>0.191327</td>\n",
              "      <td>1.829082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.273650</td>\n",
              "      <td>0.335028</td>\n",
              "      <td>0.410614</td>\n",
              "      <td>0.379525</td>\n",
              "      <td>0.191572</td>\n",
              "      <td>0.143550</td>\n",
              "      <td>2.557160</td>\n",
              "      <td>2.042746</td>\n",
              "      <td>0.591177</td>\n",
              "      <td>1.736879</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.599175</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.690000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.640000</td>\n",
              "      <td>0.603000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.770000</td>\n",
              "      <td>0.600000</td>\n",
              "      <td>0.822325</td>\n",
              "      <td>0.780000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.600000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>9.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       new_perf_UG  new_perf_PG  ...   non_score  other_score\n",
              "count   392.000000   392.000000  ...  392.000000   392.000000\n",
              "mean      0.609937     0.195428  ...    0.191327     1.829082\n",
              "std       0.273650     0.335028  ...    0.591177     1.736879\n",
              "min       0.000000     0.000000  ...    0.000000     0.000000\n",
              "25%       0.599175     0.000000  ...    0.000000     1.000000\n",
              "50%       0.690000     0.000000  ...    0.000000     1.000000\n",
              "75%       0.770000     0.600000  ...    0.000000     3.000000\n",
              "max       1.000000     1.000000  ...    5.000000     9.000000\n",
              "\n",
              "[8 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C6KruKNfDkic",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#encoding degree and stream\n",
        "data['Degree'].fillna('No Degree',inplace = True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s4uRS3L3EUVd",
        "colab_type": "code",
        "outputId": "14d8ca84-afd1-4c2c-e7e8-9c736035e7b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data.head(20)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.7910</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6860</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Data Analytics, Machine Learning, MySQL, Python</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Data Science Engineering</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.233333</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>MS-Word, Python, Robotics</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Artificial Intelligence</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.8500</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Data Analytics, Python, SQL, .NET, ASP.NET, C#...</td>\n",
              "      <td>PG Diploma in Data Science</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.6700</td>\n",
              "      <td>0.9025</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>English Proficiency (Spoken), English Proficie...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Data Science</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.9300</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>MS-Office, Computer Vision, Data Analytics, De...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Artificial Intelligence And Machine Learning</td>\n",
              "      <td>0.6000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>CSS, HTML, Java, Python, SQL</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Python, C++ Programming, Data Analytics, Deep ...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8960</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>C Programming, Image Processing, Machine Learn...</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Advanced Pg Diploma In Artificial Intelligence</td>\n",
              "      <td>0.8300</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>0.8810</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>C Programming, C++ Programming, Data Analytics...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.6530</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7260</td>\n",
              "      <td>0.6950</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Java, Python, SQL, C Programming</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>SQL, Data Analytics, MS-Excel, Machine Learnin...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Data Science And Engineering</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>MS-Office, Python, Data Science, Machine Learn...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.8125</td>\n",
              "      <td>0.7900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Data Analytics, Machine Learning, Python</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9720</td>\n",
              "      <td>0.8450</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.6800</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>BIG DATA ANALYTICS, Data Analytics, Database M...</td>\n",
              "      <td>Post Graduate Diploma</td>\n",
              "      <td>Data Science</td>\n",
              "      <td>0.6500</td>\n",
              "      <td>0.5600</td>\n",
              "      <td>0.8900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                         Other skills  ... other_score\n",
              "0                                       R Programming  ...           0\n",
              "1   Data Science, Machine Learning, Neural Network...  ...           1\n",
              "2   Algorithms, Data Structures, Python, C Program...  ...           3\n",
              "3   CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...           2\n",
              "4   HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...           1\n",
              "5     Data Analytics, Machine Learning, MySQL, Python  ...           0\n",
              "6                           MS-Word, Python, Robotics  ...           1\n",
              "7   Data Analytics, Python, SQL, .NET, ASP.NET, C#...  ...           1\n",
              "8   English Proficiency (Spoken), English Proficie...  ...           9\n",
              "9   MS-Office, Computer Vision, Data Analytics, De...  ...           1\n",
              "10                       CSS, HTML, Java, Python, SQL  ...           0\n",
              "11  Python, C++ Programming, Data Analytics, Deep ...  ...           2\n",
              "12  C Programming, Image Processing, Machine Learn...  ...           1\n",
              "13  C Programming, C++ Programming, Data Analytics...  ...           3\n",
              "14                   Java, Python, SQL, C Programming  ...           1\n",
              "15  SQL, Data Analytics, MS-Excel, Machine Learnin...  ...           1\n",
              "16  MS-Office, Python, Data Science, Machine Learn...  ...           0\n",
              "17           Data Analytics, Machine Learning, Python  ...           0\n",
              "18                                                NaN  ...           2\n",
              "19  BIG DATA ANALYTICS, Data Analytics, Database M...  ...           0\n",
              "\n",
              "[20 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YInUooPrEWd7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#encoding degree and stream\n",
        "data['Stream'].fillna('No Stream',inplace = True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D7cyrPcjEgjW",
        "colab_type": "code",
        "outputId": "77c23071-d9cc-4e13-99b6-51fc2a5e9849",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data.head(20)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.7910</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6860</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Data Analytics, Machine Learning, MySQL, Python</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Data Science Engineering</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.233333</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>MS-Word, Python, Robotics</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Artificial Intelligence</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.8500</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Data Analytics, Python, SQL, .NET, ASP.NET, C#...</td>\n",
              "      <td>PG Diploma in Data Science</td>\n",
              "      <td>No Stream</td>\n",
              "      <td>0.6700</td>\n",
              "      <td>0.9025</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>English Proficiency (Spoken), English Proficie...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Data Science</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.9300</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>MS-Office, Computer Vision, Data Analytics, De...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Artificial Intelligence And Machine Learning</td>\n",
              "      <td>0.6000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>CSS, HTML, Java, Python, SQL</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Python, C++ Programming, Data Analytics, Deep ...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8960</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>C Programming, Image Processing, Machine Learn...</td>\n",
              "      <td>No Degree</td>\n",
              "      <td>Advanced Pg Diploma In Artificial Intelligence</td>\n",
              "      <td>0.8300</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>0.8810</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>C Programming, C++ Programming, Data Analytics...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.6530</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7260</td>\n",
              "      <td>0.6950</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Java, Python, SQL, C Programming</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>SQL, Data Analytics, MS-Excel, Machine Learnin...</td>\n",
              "      <td>Post Graduate Programme (PGP)</td>\n",
              "      <td>Data Science And Engineering</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>MS-Office, Python, Data Science, Machine Learn...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.8125</td>\n",
              "      <td>0.7900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Data Analytics, Machine Learning, Python</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.6600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9720</td>\n",
              "      <td>0.8450</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.6800</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>BIG DATA ANALYTICS, Data Analytics, Database M...</td>\n",
              "      <td>Post Graduate Diploma</td>\n",
              "      <td>Data Science</td>\n",
              "      <td>0.6500</td>\n",
              "      <td>0.5600</td>\n",
              "      <td>0.8900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                         Other skills  ... other_score\n",
              "0                                       R Programming  ...           0\n",
              "1   Data Science, Machine Learning, Neural Network...  ...           1\n",
              "2   Algorithms, Data Structures, Python, C Program...  ...           3\n",
              "3   CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...           2\n",
              "4   HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...           1\n",
              "5     Data Analytics, Machine Learning, MySQL, Python  ...           0\n",
              "6                           MS-Word, Python, Robotics  ...           1\n",
              "7   Data Analytics, Python, SQL, .NET, ASP.NET, C#...  ...           1\n",
              "8   English Proficiency (Spoken), English Proficie...  ...           9\n",
              "9   MS-Office, Computer Vision, Data Analytics, De...  ...           1\n",
              "10                       CSS, HTML, Java, Python, SQL  ...           0\n",
              "11  Python, C++ Programming, Data Analytics, Deep ...  ...           2\n",
              "12  C Programming, Image Processing, Machine Learn...  ...           1\n",
              "13  C Programming, C++ Programming, Data Analytics...  ...           3\n",
              "14                   Java, Python, SQL, C Programming  ...           1\n",
              "15  SQL, Data Analytics, MS-Excel, Machine Learnin...  ...           1\n",
              "16  MS-Office, Python, Data Science, Machine Learn...  ...           0\n",
              "17           Data Analytics, Machine Learning, Python  ...           0\n",
              "18                                                NaN  ...           2\n",
              "19  BIG DATA ANALYTICS, Data Analytics, Database M...  ...           0\n",
              "\n",
              "[20 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NqoqMToNEivF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp = data\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "US91HvGsF6oT",
        "colab_type": "code",
        "outputId": "f1b540c6-6687-4eef-a9de-1447fa2345b4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 627
        }
      },
      "source": [
        "temp = pd.concat([temp,pd.get_dummies(temp['Stream'], prefix='stream')],axis=1)\n",
        "temp.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>stream_Advance Diploma In Big Data Analytics</th>\n",
              "      <th>stream_Advanced Big Data Analytics</th>\n",
              "      <th>stream_Advanced Pg Diploma In Artificial Intelligence</th>\n",
              "      <th>stream_Aerospace Engineering</th>\n",
              "      <th>stream_Artificial Intelligence</th>\n",
              "      <th>stream_Artificial Intelligence And Machine Learning</th>\n",
              "      <th>stream_Big Data Analytics</th>\n",
              "      <th>stream_Biological sciences and bioengineering</th>\n",
              "      <th>stream_Biotechnology</th>\n",
              "      <th>stream_Business Analytics</th>\n",
              "      <th>stream_Business Analytics And Business Intelligence</th>\n",
              "      <th>stream_CSE With Cloud Computing</th>\n",
              "      <th>stream_Ceramic Engineering</th>\n",
              "      <th>stream_Civil Engineering</th>\n",
              "      <th>stream_Commerce</th>\n",
              "      <th>stream_Commerce With Maths</th>\n",
              "      <th>stream_Computer  Applications</th>\n",
              "      <th>stream_Computer  Science</th>\n",
              "      <th>stream_Computer  Science And Engineering</th>\n",
              "      <th>stream_Computer &amp; Communication Engineering</th>\n",
              "      <th>stream_Computer Application</th>\n",
              "      <th>stream_Computer Network And Engg</th>\n",
              "      <th>stream_Computer Science &amp; Engineering</th>\n",
              "      <th>stream_Computer Science &amp;amp;engineering</th>\n",
              "      <th>stream_Computer Science And Application</th>\n",
              "      <th>stream_Computer Science And Mathematics</th>\n",
              "      <th>stream_Computer Science AndEngineering</th>\n",
              "      <th>...</th>\n",
              "      <th>stream_Economics</th>\n",
              "      <th>stream_Education</th>\n",
              "      <th>stream_Electrical and Electronics Engineering</th>\n",
              "      <th>stream_Electronics and Communication</th>\n",
              "      <th>stream_Electronics and Computer Engineering</th>\n",
              "      <th>stream_Electronics and Instrumentation</th>\n",
              "      <th>stream_Electronics and Telecommunication Engineering (ETE)</th>\n",
              "      <th>stream_Engineering Design</th>\n",
              "      <th>stream_Engineering Physics</th>\n",
              "      <th>stream_Finance</th>\n",
              "      <th>stream_Finance And Analytics</th>\n",
              "      <th>stream_IT</th>\n",
              "      <th>stream_Industrial and Management Engineering</th>\n",
              "      <th>stream_Information Science</th>\n",
              "      <th>stream_Information Science &amp; Engineering</th>\n",
              "      <th>stream_Information Systems</th>\n",
              "      <th>stream_Information Technology</th>\n",
              "      <th>stream_Instrumentation &amp; Electronics</th>\n",
              "      <th>stream_Instrumentation and Control Engineering</th>\n",
              "      <th>stream_Kannur University</th>\n",
              "      <th>stream_MCA</th>\n",
              "      <th>stream_Machine Learning And Artificial Intelligence</th>\n",
              "      <th>stream_Marketing</th>\n",
              "      <th>stream_Mathematics</th>\n",
              "      <th>stream_Mechanical Engineering</th>\n",
              "      <th>stream_Mechatronics</th>\n",
              "      <th>stream_Mobile Application And Cloud Technology</th>\n",
              "      <th>stream_Motel Management</th>\n",
              "      <th>stream_No Stream</th>\n",
              "      <th>stream_Production Engineering</th>\n",
              "      <th>stream_Remote Sensing And Wireless Sensor</th>\n",
              "      <th>stream_Science</th>\n",
              "      <th>stream_Sensor Systems Technology</th>\n",
              "      <th>stream_Software  Systems</th>\n",
              "      <th>stream_Software Engineering</th>\n",
              "      <th>stream_Software Systems</th>\n",
              "      <th>stream_Statistics</th>\n",
              "      <th>stream_Technology</th>\n",
              "      <th>stream_computer science</th>\n",
              "      <th>stream_cs</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 92 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        Other skills  ... stream_cs\n",
              "0                                      R Programming  ...         0\n",
              "1  Data Science, Machine Learning, Neural Network...  ...         0\n",
              "2  Algorithms, Data Structures, Python, C Program...  ...         0\n",
              "3  CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...         0\n",
              "4  HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...         0\n",
              "\n",
              "[5 rows x 92 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-pbgsUqxGLCV",
        "colab_type": "code",
        "outputId": "124fb944-e1d8-44a4-db0b-b6acc3ab4177",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 661
        }
      },
      "source": [
        "temp = pd.concat([temp,pd.get_dummies(temp['Degree'], prefix='degree')],axis=1)\n",
        "temp.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Other skills</th>\n",
              "      <th>Degree</th>\n",
              "      <th>Stream</th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>stream_Advance Diploma In Big Data Analytics</th>\n",
              "      <th>stream_Advanced Big Data Analytics</th>\n",
              "      <th>stream_Advanced Pg Diploma In Artificial Intelligence</th>\n",
              "      <th>stream_Aerospace Engineering</th>\n",
              "      <th>stream_Artificial Intelligence</th>\n",
              "      <th>stream_Artificial Intelligence And Machine Learning</th>\n",
              "      <th>stream_Big Data Analytics</th>\n",
              "      <th>stream_Biological sciences and bioengineering</th>\n",
              "      <th>stream_Biotechnology</th>\n",
              "      <th>stream_Business Analytics</th>\n",
              "      <th>stream_Business Analytics And Business Intelligence</th>\n",
              "      <th>stream_CSE With Cloud Computing</th>\n",
              "      <th>stream_Ceramic Engineering</th>\n",
              "      <th>stream_Civil Engineering</th>\n",
              "      <th>stream_Commerce</th>\n",
              "      <th>stream_Commerce With Maths</th>\n",
              "      <th>stream_Computer  Applications</th>\n",
              "      <th>stream_Computer  Science</th>\n",
              "      <th>stream_Computer  Science And Engineering</th>\n",
              "      <th>stream_Computer &amp; Communication Engineering</th>\n",
              "      <th>stream_Computer Application</th>\n",
              "      <th>stream_Computer Network And Engg</th>\n",
              "      <th>stream_Computer Science &amp; Engineering</th>\n",
              "      <th>stream_Computer Science &amp;amp;engineering</th>\n",
              "      <th>stream_Computer Science And Application</th>\n",
              "      <th>stream_Computer Science And Mathematics</th>\n",
              "      <th>stream_Computer Science AndEngineering</th>\n",
              "      <th>...</th>\n",
              "      <th>stream_Sensor Systems Technology</th>\n",
              "      <th>stream_Software  Systems</th>\n",
              "      <th>stream_Software Engineering</th>\n",
              "      <th>stream_Software Systems</th>\n",
              "      <th>stream_Statistics</th>\n",
              "      <th>stream_Technology</th>\n",
              "      <th>stream_computer science</th>\n",
              "      <th>stream_cs</th>\n",
              "      <th>degree_B.Com. Professional</th>\n",
              "      <th>degree_B.Tech (Hons.)</th>\n",
              "      <th>degree_Bachelor of Arts (B.A.) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Business Administration (B.B.A.)</th>\n",
              "      <th>degree_Bachelor of Business Management (B.B.M.)</th>\n",
              "      <th>degree_Bachelor of Commerce (B.Com)</th>\n",
              "      <th>degree_Bachelor of Commerce (B.Com) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Computer Applications (BCA)</th>\n",
              "      <th>degree_Bachelor of Computer Science (B.C.S.)</th>\n",
              "      <th>degree_Bachelor of Engineering (B.E)</th>\n",
              "      <th>degree_Bachelor of Engineering (B.E) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Science (B.Sc)</th>\n",
              "      <th>degree_Bachelor of Technology (B.Tech)</th>\n",
              "      <th>degree_Executive MBA</th>\n",
              "      <th>degree_Integrated B.E &amp; M.Tech</th>\n",
              "      <th>degree_Integrated B.Tech</th>\n",
              "      <th>degree_Integrated B.Tech &amp; M.Tech</th>\n",
              "      <th>degree_Integrated M.Sc.</th>\n",
              "      <th>degree_Integrated M.Tech</th>\n",
              "      <th>degree_MBA</th>\n",
              "      <th>degree_Master of Computer Applications (MCA)</th>\n",
              "      <th>degree_Master of Science (M.S.)</th>\n",
              "      <th>degree_Master of Science (M.Sc)</th>\n",
              "      <th>degree_Master of Science (M.Sc) (Hons.)</th>\n",
              "      <th>degree_Master of Technology (M.Tech)</th>\n",
              "      <th>degree_No Degree</th>\n",
              "      <th>degree_PG Diploma in Data Science</th>\n",
              "      <th>degree_Post Graduate Diploma</th>\n",
              "      <th>degree_Post Graduate Diploma in Big Data Analytics (PG-DBDA)</th>\n",
              "      <th>degree_Post Graduate Diploma in Management (P.G.D.M.)</th>\n",
              "      <th>degree_Post Graduate Program in Business Analytics</th>\n",
              "      <th>degree_Post Graduate Programme (PGP)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R Programming</td>\n",
              "      <td>Bachelor of Science (B.Sc)</td>\n",
              "      <td>Mathematics</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Data Science, Machine Learning, Neural Network...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Computer Science &amp; Engineering</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algorithms, Data Structures, Python, C Program...</td>\n",
              "      <td>Master of Science (M.Sc)</td>\n",
              "      <td>Computer  Science</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CSS, Deep Learning, Embedded Systems, HTML, Ma...</td>\n",
              "      <td>Bachelor of Engineering (B.E)</td>\n",
              "      <td>Electronics and Communication</td>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>HTML, OpenCV, Python, SQL, C++ Programming, CS...</td>\n",
              "      <td>Bachelor of Technology (B.Tech)</td>\n",
              "      <td>Production Engineering</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 124 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        Other skills  ... degree_Post Graduate Programme (PGP)\n",
              "0                                      R Programming  ...                                    0\n",
              "1  Data Science, Machine Learning, Neural Network...  ...                                    0\n",
              "2  Algorithms, Data Structures, Python, C Program...  ...                                    0\n",
              "3  CSS, Deep Learning, Embedded Systems, HTML, Ma...  ...                                    0\n",
              "4  HTML, OpenCV, Python, SQL, C++ Programming, CS...  ...                                    0\n",
              "\n",
              "[5 rows x 124 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y4Vi5n7SGY_i",
        "colab_type": "code",
        "outputId": "30327daf-9d87-4b6f-943a-d966876edd3e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        }
      },
      "source": [
        "temp = temp.drop(columns= ['Other skills','Degree','Stream'])\n",
        "temp.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>stream_Advance Diploma In Big Data Analytics</th>\n",
              "      <th>stream_Advanced Big Data Analytics</th>\n",
              "      <th>stream_Advanced Pg Diploma In Artificial Intelligence</th>\n",
              "      <th>stream_Aerospace Engineering</th>\n",
              "      <th>stream_Artificial Intelligence</th>\n",
              "      <th>stream_Artificial Intelligence And Machine Learning</th>\n",
              "      <th>stream_Big Data Analytics</th>\n",
              "      <th>stream_Biological sciences and bioengineering</th>\n",
              "      <th>stream_Biotechnology</th>\n",
              "      <th>stream_Business Analytics</th>\n",
              "      <th>stream_Business Analytics And Business Intelligence</th>\n",
              "      <th>stream_CSE With Cloud Computing</th>\n",
              "      <th>stream_Ceramic Engineering</th>\n",
              "      <th>stream_Civil Engineering</th>\n",
              "      <th>stream_Commerce</th>\n",
              "      <th>stream_Commerce With Maths</th>\n",
              "      <th>stream_Computer  Applications</th>\n",
              "      <th>stream_Computer  Science</th>\n",
              "      <th>stream_Computer  Science And Engineering</th>\n",
              "      <th>stream_Computer &amp; Communication Engineering</th>\n",
              "      <th>stream_Computer Application</th>\n",
              "      <th>stream_Computer Network And Engg</th>\n",
              "      <th>stream_Computer Science &amp; Engineering</th>\n",
              "      <th>stream_Computer Science &amp;amp;engineering</th>\n",
              "      <th>stream_Computer Science And Application</th>\n",
              "      <th>stream_Computer Science And Mathematics</th>\n",
              "      <th>stream_Computer Science AndEngineering</th>\n",
              "      <th>stream_Computer Science With The Specialization In Data Science</th>\n",
              "      <th>stream_Computer Technology</th>\n",
              "      <th>stream_Core JAVA</th>\n",
              "      <th>...</th>\n",
              "      <th>stream_Sensor Systems Technology</th>\n",
              "      <th>stream_Software  Systems</th>\n",
              "      <th>stream_Software Engineering</th>\n",
              "      <th>stream_Software Systems</th>\n",
              "      <th>stream_Statistics</th>\n",
              "      <th>stream_Technology</th>\n",
              "      <th>stream_computer science</th>\n",
              "      <th>stream_cs</th>\n",
              "      <th>degree_B.Com. Professional</th>\n",
              "      <th>degree_B.Tech (Hons.)</th>\n",
              "      <th>degree_Bachelor of Arts (B.A.) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Business Administration (B.B.A.)</th>\n",
              "      <th>degree_Bachelor of Business Management (B.B.M.)</th>\n",
              "      <th>degree_Bachelor of Commerce (B.Com)</th>\n",
              "      <th>degree_Bachelor of Commerce (B.Com) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Computer Applications (BCA)</th>\n",
              "      <th>degree_Bachelor of Computer Science (B.C.S.)</th>\n",
              "      <th>degree_Bachelor of Engineering (B.E)</th>\n",
              "      <th>degree_Bachelor of Engineering (B.E) (Hons.)</th>\n",
              "      <th>degree_Bachelor of Science (B.Sc)</th>\n",
              "      <th>degree_Bachelor of Technology (B.Tech)</th>\n",
              "      <th>degree_Executive MBA</th>\n",
              "      <th>degree_Integrated B.E &amp; M.Tech</th>\n",
              "      <th>degree_Integrated B.Tech</th>\n",
              "      <th>degree_Integrated B.Tech &amp; M.Tech</th>\n",
              "      <th>degree_Integrated M.Sc.</th>\n",
              "      <th>degree_Integrated M.Tech</th>\n",
              "      <th>degree_MBA</th>\n",
              "      <th>degree_Master of Computer Applications (MCA)</th>\n",
              "      <th>degree_Master of Science (M.S.)</th>\n",
              "      <th>degree_Master of Science (M.Sc)</th>\n",
              "      <th>degree_Master of Science (M.Sc) (Hons.)</th>\n",
              "      <th>degree_Master of Technology (M.Tech)</th>\n",
              "      <th>degree_No Degree</th>\n",
              "      <th>degree_PG Diploma in Data Science</th>\n",
              "      <th>degree_Post Graduate Diploma</th>\n",
              "      <th>degree_Post Graduate Diploma in Big Data Analytics (PG-DBDA)</th>\n",
              "      <th>degree_Post Graduate Diploma in Management (P.G.D.M.)</th>\n",
              "      <th>degree_Post Graduate Program in Business Analytics</th>\n",
              "      <th>degree_Post Graduate Programme (PGP)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 121 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  ...  degree_Post Graduate Programme (PGP)\n",
              "0        0.000  ...                                     0\n",
              "1        0.855  ...                                     0\n",
              "2        0.700  ...                                     0\n",
              "3        0.686  ...                                     0\n",
              "4        0.638  ...                                     0\n",
              "\n",
              "[5 rows x 121 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nqmr7DiVGo3k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#import numpy and sklearn for training model for this feature engineered dataset\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2_NQPoSDIKrh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#get kmeans algorithm from sklearn\n",
        "from sklearn.cluster import KMeans"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ry-7cQSE73J4",
        "colab": {}
      },
      "source": [
        "#checking to differentiating bad and good skills\n",
        "kmeans = KMeans(n_clusters=2, random_state=0).fit(temp)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "alptUX0uIkGT",
        "colab_type": "code",
        "outputId": "9105495d-65b4-469e-a47f-4cbbe899095b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "kmeans.labels_"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,\n",
              "       0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,\n",
              "       0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0,\n",
              "       1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0,\n",
              "       1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0,\n",
              "       0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1,\n",
              "       1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0,\n",
              "       1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0,\n",
              "       1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1,\n",
              "       0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1,\n",
              "       1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V8E8MYQfIm4K",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#calculating without using 'stream' and 'degree' columns\n",
        "temp2 = temp[['new_perf_UG','new_perf_PG','new_perf_10','new_perf_12','data_scientist_skills','web_development_skills','web_score',\t'ds_score','non_score',\t'other_score']]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M5ArXrsZJpkC",
        "colab_type": "code",
        "outputId": "38a17d45-0949-4599-c1fe-bb35de091622",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp2.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  new_perf_10  ...  ds_score  non_score  other_score\n",
              "0        0.000        0.000       0.0000  ...         1          0            0\n",
              "1        0.855        0.000       0.9660  ...         4          0            1\n",
              "2        0.700        0.791       0.7760  ...         7          1            3\n",
              "3        0.686        0.000       0.8432  ...         3          0            2\n",
              "4        0.638        0.000       0.6880  ...         2          0            1\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ivljw2_Jxbz",
        "colab_type": "code",
        "outputId": "1a5cf8f8-396a-453a-8e88-962690256775",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        }
      },
      "source": [
        "temp2.head(20)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.8550</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.7910</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.6860</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.6380</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.233333</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.8500</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.6700</td>\n",
              "      <td>0.9025</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.9300</td>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.6000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.6400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8960</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.8300</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>0.8810</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.6530</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.7260</td>\n",
              "      <td>0.6950</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.8400</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9500</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.8125</td>\n",
              "      <td>0.7900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.6600</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.9720</td>\n",
              "      <td>0.8450</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0.6800</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0.6500</td>\n",
              "      <td>0.5600</td>\n",
              "      <td>0.8900</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    new_perf_UG  new_perf_PG  new_perf_10  ...  ds_score  non_score  other_score\n",
              "0        0.0000       0.0000       0.0000  ...         1          0            0\n",
              "1        0.8550       0.0000       0.9660  ...         4          0            1\n",
              "2        0.7000       0.7910       0.7760  ...         7          1            3\n",
              "3        0.6860       0.0000       0.8432  ...         3          0            2\n",
              "4        0.6380       0.0000       0.6880  ...         2          0            1\n",
              "5        0.7000       0.0000       0.0000  ...         3          0            0\n",
              "6        0.8000       0.0000       0.8000  ...         1          0            1\n",
              "7        0.6700       0.9025       0.0000  ...         3          0            1\n",
              "8        0.7000       0.8000       0.9300  ...         4          5            9\n",
              "9        0.6000       0.7100       0.0000  ...         6          0            1\n",
              "10       0.6400       0.0000       0.0000  ...         1          0            0\n",
              "11       0.7600       0.0000       0.0000  ...         4          0            2\n",
              "12       0.8300       0.0000       0.8800  ...         7          0            1\n",
              "13       0.6530       0.0000       0.7260  ...         4          0            3\n",
              "14       0.8400       0.0000       0.9500  ...         1          0            1\n",
              "15       0.8000       0.0000       0.0000  ...         3          0            1\n",
              "16       0.8125       0.7900       0.0000  ...         3          0            0\n",
              "17       0.6600       0.0000       0.9720  ...         3          0            0\n",
              "18       0.6800       0.0000       0.0000  ...         1          0            2\n",
              "19       0.6500       0.5600       0.8900  ...         5          0            0\n",
              "\n",
              "[20 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qbtBUtBaJ4_S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "kmeans2 = KMeans(n_clusters=4, random_state=42).fit(temp2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mn_Wjxo7KGsR",
        "colab_type": "code",
        "outputId": "04769084-c078-4ae7-b7a9-7a7d88a47d9f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "kmeans2.labels_\n",
        "#getting similar results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 2, 2, 0, 1, 0, 0, 0, 3, 2, 0, 2, 2, 2, 0, 0, 0, 0, 1, 2, 1, 0,\n",
              "       2, 0, 1, 0, 0, 2, 2, 2, 2, 0, 1, 2, 2, 1, 0, 2, 1, 1, 2, 0, 2, 2,\n",
              "       2, 2, 0, 0, 0, 2, 0, 0, 2, 1, 0, 2, 0, 0, 1, 2, 2, 0, 2, 0, 2, 2,\n",
              "       2, 2, 2, 0, 2, 2, 0, 0, 2, 3, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 2,\n",
              "       0, 0, 2, 1, 1, 2, 1, 2, 2, 2, 0, 0, 0, 2, 0, 2, 1, 1, 2, 0, 2, 0,\n",
              "       0, 0, 2, 0, 2, 0, 2, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 0, 0, 2, 3, 2,\n",
              "       0, 0, 0, 0, 2, 0, 3, 2, 2, 0, 2, 2, 2, 0, 0, 2, 0, 0, 0, 0, 2, 2,\n",
              "       2, 2, 0, 3, 2, 2, 1, 0, 0, 0, 2, 2, 0, 0, 0, 1, 1, 2, 0, 2, 0, 2,\n",
              "       2, 2, 2, 2, 0, 2, 3, 0, 2, 0, 3, 1, 0, 2, 1, 2, 0, 1, 2, 0, 1, 2,\n",
              "       0, 0, 1, 2, 0, 3, 0, 2, 2, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 2, 2,\n",
              "       1, 3, 3, 1, 3, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 3, 1, 1, 1, 1, 3, 0,\n",
              "       1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 3, 1, 0, 0, 1, 1, 0,\n",
              "       0, 1, 3, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1,\n",
              "       1, 0, 1, 0, 1, 1, 3, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0,\n",
              "       1, 1, 0, 1, 0, 1, 1, 3, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0,\n",
              "       1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 3, 1, 3, 0, 0, 1, 0, 3, 0, 1,\n",
              "       0, 0, 3, 1, 1, 1, 1, 3, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1,\n",
              "       1, 0, 1, 3, 1, 0, 0, 1, 1, 0, 0, 1, 3, 0, 1, 1, 0, 1], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YJyvOAmOKJ2w",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp3 = temp2.drop(columns=['new_perf_10','new_perf_12'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DeRLRkXoMgpk",
        "colab_type": "code",
        "outputId": "e5717693-1740-420c-ffc3-10dd645209df",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp3.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  non_score  other_score\n",
              "0        0.000        0.000  ...          0            0\n",
              "1        0.855        0.000  ...          0            1\n",
              "2        0.700        0.791  ...          1            3\n",
              "3        0.686        0.000  ...          0            2\n",
              "4        0.638        0.000  ...          0            1\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z-7ykZNlMiEl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "kmeans3 = KMeans(n_clusters=2, random_state=13).fit(temp3)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pTpKcFxQM3hb",
        "colab_type": "code",
        "outputId": "0d106890-4d6a-4737-9728-c6b378e1113e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "kmeans3.labels_"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1,\n",
              "       1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1,\n",
              "       1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1,\n",
              "       0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1,\n",
              "       0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1,\n",
              "       1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0,\n",
              "       0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1,\n",
              "       0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1,\n",
              "       0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0,\n",
              "       1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0,\n",
              "       0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 152
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jt_MKzKQM8HI",
        "colab_type": "code",
        "outputId": "a01b4740-fb9c-4272-cb72-572d68048284",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "temp3.head(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.7910</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.233333</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.800</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.670</td>\n",
              "      <td>0.9025</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.600</td>\n",
              "      <td>0.7100</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  non_score  other_score\n",
              "0        0.000       0.0000  ...          0            0\n",
              "1        0.855       0.0000  ...          0            1\n",
              "2        0.700       0.7910  ...          1            3\n",
              "3        0.686       0.0000  ...          0            2\n",
              "4        0.638       0.0000  ...          0            1\n",
              "5        0.700       0.0000  ...          0            0\n",
              "6        0.800       0.0000  ...          0            1\n",
              "7        0.670       0.9025  ...          0            1\n",
              "8        0.700       0.8000  ...          5            9\n",
              "9        0.600       0.7100  ...          0            1\n",
              "\n",
              "[10 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5bpJ0RDjNOnz",
        "colab_type": "code",
        "outputId": "4c1ca44f-2825-4a56-c09c-8057b8b8180d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp3.tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>387</th>\n",
              "      <td>0.7500</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>388</th>\n",
              "      <td>0.6800</td>\n",
              "      <td>0.778</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.233333</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>389</th>\n",
              "      <td>0.6100</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>390</th>\n",
              "      <td>0.6500</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>391</th>\n",
              "      <td>0.6306</td>\n",
              "      <td>0.640</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     new_perf_UG  new_perf_PG  ...  non_score  other_score\n",
              "387       0.7500        0.000  ...          0            0\n",
              "388       0.6800        0.778  ...          0            2\n",
              "389       0.6100        0.000  ...          0            0\n",
              "390       0.6500        0.000  ...          0            3\n",
              "391       0.6306        0.640  ...          0            2\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vSBGrSKPNagk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "kmeans4 = KMeans(n_clusters=2, random_state=13).fit(temp3)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eiEOD4KdNvCs",
        "colab_type": "code",
        "outputId": "0f830fea-a610-4796-cf93-9045138aa913",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(kmeans4.labels_)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xmmYdIOPSwxD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "narr = kmeans4.labels_"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7ndnUYBCS0ak",
        "colab_type": "code",
        "outputId": "9ee24d85-eb9d-47ae-fbc5-81d51c19eb18",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "narr[1]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4YskjiG2TDHb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp3['label'] = \"label\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZNtS0engS-pj",
        "colab_type": "code",
        "outputId": "92fb051e-6eb0-42ea-ed59-4d0ec5c9124b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "for i in temp3.index:\n",
        "  if narr[i] == 0:\n",
        "    temp3['label'][i] = 'cluster1'\n",
        "  else:\n",
        "    temp3['label'][i] = 'cluster2'"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YOOnBmqvTbid",
        "colab_type": "code",
        "outputId": "54e01291-c410-4ae5-9a92-bed0dd38a3f9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp3.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>cluster1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  other_score     label\n",
              "0        0.000        0.000  ...            0  cluster2\n",
              "1        0.855        0.000  ...            1  cluster2\n",
              "2        0.700        0.791  ...            3  cluster2\n",
              "3        0.686        0.000  ...            2  cluster2\n",
              "4        0.638        0.000  ...            1  cluster1\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sMjHIT5iNxtg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp3.to_csv('/content/temp3.csv',index = None)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K1X21XtaP7gV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp3['label'] = \"label\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BmIx9ynHRLJA",
        "colab_type": "code",
        "outputId": "729b945b-92f3-40a0-d69f-436d64ccf9d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp3.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>label</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>label</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>label</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>label</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>label</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  other_score  label\n",
              "0        0.000        0.000  ...            0  label\n",
              "1        0.855        0.000  ...            1  label\n",
              "2        0.700        0.791  ...            3  label\n",
              "3        0.686        0.000  ...            2  label\n",
              "4        0.638        0.000  ...            1  label\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 160
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xoiKU8OGR80W",
        "colab_type": "code",
        "outputId": "5a4499f7-913b-4a16-9f81-ffdb1d11650f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp2.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>new_perf_10</th>\n",
              "      <th>new_perf_12</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.9660</td>\n",
              "      <td>0.9220</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.7760</td>\n",
              "      <td>0.6483</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.7600</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.6880</td>\n",
              "      <td>0.6520</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  new_perf_10  ...  ds_score  non_score  other_score\n",
              "0        0.000        0.000       0.0000  ...         1          0            0\n",
              "1        0.855        0.000       0.9660  ...         4          0            1\n",
              "2        0.700        0.791       0.7760  ...         7          1            3\n",
              "3        0.686        0.000       0.8432  ...         3          0            2\n",
              "4        0.638        0.000       0.6880  ...         2          0            1\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 172
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pyBYrLUDUiiM",
        "colab_type": "code",
        "outputId": "64d9df4d-da9f-44d7-aab9-8e28789a59fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp3.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>cluster2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>cluster1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  other_score     label\n",
              "0        0.000        0.000  ...            0  cluster2\n",
              "1        0.855        0.000  ...            1  cluster2\n",
              "2        0.700        0.791  ...            3  cluster2\n",
              "3        0.686        0.000  ...            2  cluster2\n",
              "4        0.638        0.000  ...            1  cluster1\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 173
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4YrfTwlXUlBz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp4 = temp3.drop(columns=['label'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qs6hQlgKUtVz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "kmeans5 = KMeans(n_clusters=4, random_state=13).fit(temp4)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7YpAypOKUy6h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "narr1 = kmeans5.labels_"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yZrwOWIOVAex",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp4['label'] = \"label\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VOkYrNOOVLWl",
        "colab_type": "code",
        "outputId": "5adabd5f-ffe1-4a75-d2d8-b61138fc5c45",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "for i in temp4.index:\n",
        "  if narr1[i] == 0:\n",
        "    temp4['label'][i] = 'very_good_web_dev'\n",
        "  elif narr1[i] == 1:\n",
        "    temp4['label'][i] = 'good_data_science'\n",
        "  elif narr1[i] == 2:\n",
        "    temp4['label'][i] = 'ok_data_science'\n",
        "  else:\n",
        "    temp4['label'][i] = 'ok_web_dev'"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  import sys\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  if __name__ == '__main__':\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GILejZdmVeDQ",
        "colab_type": "code",
        "outputId": "c176adc4-c7e5-458c-9a60-3217497ca4a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "temp4.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.855</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>good_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.700</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>good_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.686</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.638</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>ok_web_dev</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   new_perf_UG  new_perf_PG  ...  other_score              label\n",
              "0        0.000        0.000  ...            0    ok_data_science\n",
              "1        0.855        0.000  ...            1  good_data_science\n",
              "2        0.700        0.791  ...            3  good_data_science\n",
              "3        0.686        0.000  ...            2    ok_data_science\n",
              "4        0.638        0.000  ...            1         ok_web_dev\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 194
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5vXcRmTSVjzs",
        "colab_type": "code",
        "outputId": "edd40478-5e61-4377-be9a-e6633fc8bd1f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "temp4.head(300)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>new_perf_UG</th>\n",
              "      <th>new_perf_PG</th>\n",
              "      <th>data_scientist_skills</th>\n",
              "      <th>web_development_skills</th>\n",
              "      <th>web_score</th>\n",
              "      <th>ds_score</th>\n",
              "      <th>non_score</th>\n",
              "      <th>other_score</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.366667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.8550</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>good_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.791</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.266667</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>good_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.6860</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.6380</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>ok_web_dev</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>295</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>ok_web_dev</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>296</th>\n",
              "      <td>0.5967</td>\n",
              "      <td>0.770</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>ok_web_dev</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>0.7000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>ok_web_dev</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>0.7850</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>0.6401</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>ok_data_science</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>300 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     new_perf_UG  new_perf_PG  ...  other_score              label\n",
              "0         0.0000        0.000  ...            0    ok_data_science\n",
              "1         0.8550        0.000  ...            1  good_data_science\n",
              "2         0.7000        0.791  ...            3  good_data_science\n",
              "3         0.6860        0.000  ...            2    ok_data_science\n",
              "4         0.6380        0.000  ...            1         ok_web_dev\n",
              "..           ...          ...  ...          ...                ...\n",
              "295       0.7000        0.000  ...            3         ok_web_dev\n",
              "296       0.5967        0.770  ...            3         ok_web_dev\n",
              "297       0.7000        0.000  ...            3         ok_web_dev\n",
              "298       0.7850        0.000  ...            1    ok_data_science\n",
              "299       0.6401        0.000  ...            3    ok_data_science\n",
              "\n",
              "[300 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 196
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HpI-dYepVmT4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "temp4.to_csv('/content/temp3.csv',index = None)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zcvaz45nV92U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "'''\n",
        "All steps with reason:-\n",
        "1) fill preson with no pg degree with pg performance = 0/10\n",
        "\t>similarly for Ug, 10 and 12.\n",
        "\t>reason: they dont have pg degree\n",
        "2) performance of 10 and 12 generally are not related to the roles they are suitable for creating another seperate instance of data that dont have both fields\n",
        "3) converting performance score(pg,ug,12,10) in range 0-1 from format x/10 or x/100\n",
        "\t>reason: they can be made in some format that can be trained by model.\n",
        "4) remove older performances of format 'x/10' or 'x/100'\n",
        "\t>reason: as new field are created so no need to keep corelated columns\n",
        "5) removing application id, current year of education.\n",
        "\t>Reason: it is of no use to determine role\n",
        "6) removing city,\n",
        "\t>Reason: as city is not a good feature to charecterize if person is good skilled or not good skilled\n",
        "7) average the scores of all data science related skills(python, Rprogramming, deep learning)\n",
        "\t>Reason: to make model computationally faster.\n",
        "8) average all web dev. skills as one collumn\n",
        "\t>Reason: to make model computationally faster.\n",
        "9) Drop the fields that are averaged and use fields generated using above two steps.\n",
        "10) then from other skills possesed by candidates, generate the set of all the skills.\n",
        "11) Then I manually segregated data science skills,web developer skills, non tech skills and other tech skills from that set of all skills\n",
        "\tReason: because my model need to find out good data scientist or good web developer or bad data scientist or bad web developer\n",
        "12) then from the other skills find out how many number of skills they have in each section(datascience,web dev,non tech,tech other) that we created above.\n",
        "13) that will be labled as their scores in respective sections.\n",
        "14) drop Other skills from the dataset as now we have scores w.r.t to other skills for each section created\n",
        "15) degree and stream are then on hot encoded but due to limited data there is no significant difference between the results if we keep them or if we don't keep them so at end i have droped it.\n",
        "16) as no labels are provided in data and using kmeans for training model\n",
        "17) creating cluster of 4 (<1>good webdev <2>ok webdev <3>good data scientist <4> ok data scientist )\n",
        "18) then I had to manually figure out which cluster represents which class out of above four mentioned\n",
        "\tfor that i used 3d scatter plots to visualize and come up with classes represented by each of the cluster.\n",
        "'''"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}