train.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linear regression custorm for Diamond price forcasting "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "diamond_df = pd.read_csv('diamonds.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>carat</th>\n",
       "      <th>cut</th>\n",
       "      <th>color</th>\n",
       "      <th>clarity</th>\n",
       "      <th>depth</th>\n",
       "      <th>table</th>\n",
       "      <th>price</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.23</td>\n",
       "      <td>Ideal</td>\n",
       "      <td>E</td>\n",
       "      <td>SI2</td>\n",
       "      <td>61.5</td>\n",
       "      <td>55.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.95</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.21</td>\n",
       "      <td>Premium</td>\n",
       "      <td>E</td>\n",
       "      <td>SI1</td>\n",
       "      <td>59.8</td>\n",
       "      <td>61.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.89</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.23</td>\n",
       "      <td>Good</td>\n",
       "      <td>E</td>\n",
       "      <td>VS1</td>\n",
       "      <td>56.9</td>\n",
       "      <td>65.0</td>\n",
       "      <td>327</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.07</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.29</td>\n",
       "      <td>Premium</td>\n",
       "      <td>I</td>\n",
       "      <td>VS2</td>\n",
       "      <td>62.4</td>\n",
       "      <td>58.0</td>\n",
       "      <td>334</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.23</td>\n",
       "      <td>2.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.31</td>\n",
       "      <td>Good</td>\n",
       "      <td>J</td>\n",
       "      <td>SI2</td>\n",
       "      <td>63.3</td>\n",
       "      <td>58.0</td>\n",
       "      <td>335</td>\n",
       "      <td>4.34</td>\n",
       "      <td>4.35</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  carat      cut color clarity  depth  table  price     x     y  \\\n",
       "0           1   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98   \n",
       "1           2   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84   \n",
       "2           3   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07   \n",
       "3           4   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23   \n",
       "4           5   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35   \n",
       "\n",
       "      z  \n",
       "0  2.43  \n",
       "1  2.31  \n",
       "2  2.31  \n",
       "3  2.63  \n",
       "4  2.75  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamond_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "diamond_df = diamond_df.drop(['Unnamed: 0'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>carat</th>\n",
       "      <th>depth</th>\n",
       "      <th>table</th>\n",
       "      <th>price</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.797940</td>\n",
       "      <td>61.749405</td>\n",
       "      <td>57.457184</td>\n",
       "      <td>3932.799722</td>\n",
       "      <td>5.731157</td>\n",
       "      <td>5.734526</td>\n",
       "      <td>3.538734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.474011</td>\n",
       "      <td>1.432621</td>\n",
       "      <td>2.234491</td>\n",
       "      <td>3989.439738</td>\n",
       "      <td>1.121761</td>\n",
       "      <td>1.142135</td>\n",
       "      <td>0.705699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>326.000000</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>0.400000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>950.000000</td>\n",
       "      <td>4.710000</td>\n",
       "      <td>4.720000</td>\n",
       "      <td>2.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>61.800000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>2401.000000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>5.710000</td>\n",
       "      <td>3.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.040000</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>5324.250000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>4.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.010000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>18823.000000</td>\n",
       "      <td>10.740000</td>\n",
       "      <td>58.900000</td>\n",
       "      <td>31.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              carat         depth         table         price             x  \\\n",
       "count  53940.000000  53940.000000  53940.000000  53940.000000  53940.000000   \n",
       "mean       0.797940     61.749405     57.457184   3932.799722      5.731157   \n",
       "std        0.474011      1.432621      2.234491   3989.439738      1.121761   \n",
       "min        0.200000     43.000000     43.000000    326.000000      0.000000   \n",
       "25%        0.400000     61.000000     56.000000    950.000000      4.710000   \n",
       "50%        0.700000     61.800000     57.000000   2401.000000      5.700000   \n",
       "75%        1.040000     62.500000     59.000000   5324.250000      6.540000   \n",
       "max        5.010000     79.000000     95.000000  18823.000000     10.740000   \n",
       "\n",
       "                  y             z  \n",
       "count  53940.000000  53940.000000  \n",
       "mean       5.734526      3.538734  \n",
       "std        1.142135      0.705699  \n",
       "min        0.000000      0.000000  \n",
       "25%        4.720000      2.910000  \n",
       "50%        5.710000      3.530000  \n",
       "75%        6.540000      4.040000  \n",
       "max       58.900000     31.800000  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamond_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(53940, 10)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamond_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "diamond_df.hist(figsize=(20, 15));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 49 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "scatter_matrix(diamond_df, figsize=(12,10));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "color_mapping = {'J': 0, 'I': 1, 'H': 2, 'G': 3, 'F': 4, 'E': 5, 'D': 6}\n",
    "diamond_df.color = diamond_df.color.map(color_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Encoding the ordinal cateogircal variable 'clarity'\n",
    "clarity_mapping = {'I1': 0, 'SI2': 1, 'SI1': 2, 'VS2': 3, 'VS1': 4, 'VVS2': 5, 'VVS1': 6, 'IF': 7}\n",
    "diamond_df.clarity = diamond_df.clarity.map(clarity_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Encode the ordinal categorical variable 'cut'\n",
    "cut_mapping = {'Fair': 0, 'Good': 1, 'Very Good': 2, 'Premium': 3, 'Ideal': 4}\n",
    "diamond_df.cut = diamond_df.cut.map(cut_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "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>carat</th>\n",
       "      <th>cut</th>\n",
       "      <th>color</th>\n",
       "      <th>clarity</th>\n",
       "      <th>depth</th>\n",
       "      <th>table</th>\n",
       "      <th>price</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "      <td>53940.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.797940</td>\n",
       "      <td>2.904097</td>\n",
       "      <td>3.405803</td>\n",
       "      <td>3.051020</td>\n",
       "      <td>61.749405</td>\n",
       "      <td>57.457184</td>\n",
       "      <td>3932.799722</td>\n",
       "      <td>5.731157</td>\n",
       "      <td>5.734526</td>\n",
       "      <td>3.538734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.474011</td>\n",
       "      <td>1.116600</td>\n",
       "      <td>1.701105</td>\n",
       "      <td>1.647136</td>\n",
       "      <td>1.432621</td>\n",
       "      <td>2.234491</td>\n",
       "      <td>3989.439738</td>\n",
       "      <td>1.121761</td>\n",
       "      <td>1.142135</td>\n",
       "      <td>0.705699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>326.000000</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>0.400000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>950.000000</td>\n",
       "      <td>4.710000</td>\n",
       "      <td>4.720000</td>\n",
       "      <td>2.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>61.800000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>2401.000000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>5.710000</td>\n",
       "      <td>3.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.040000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>5324.250000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>4.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.010000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>18823.000000</td>\n",
       "      <td>10.740000</td>\n",
       "      <td>58.900000</td>\n",
       "      <td>31.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              carat           cut         color       clarity         depth  \\\n",
       "count  53940.000000  53940.000000  53940.000000  53940.000000  53940.000000   \n",
       "mean       0.797940      2.904097      3.405803      3.051020     61.749405   \n",
       "std        0.474011      1.116600      1.701105      1.647136      1.432621   \n",
       "min        0.200000      0.000000      0.000000      0.000000     43.000000   \n",
       "25%        0.400000      2.000000      2.000000      2.000000     61.000000   \n",
       "50%        0.700000      3.000000      3.000000      3.000000     61.800000   \n",
       "75%        1.040000      4.000000      5.000000      4.000000     62.500000   \n",
       "max        5.010000      4.000000      6.000000      7.000000     79.000000   \n",
       "\n",
       "              table         price             x             y             z  \n",
       "count  53940.000000  53940.000000  53940.000000  53940.000000  53940.000000  \n",
       "mean      57.457184   3932.799722      5.731157      5.734526      3.538734  \n",
       "std        2.234491   3989.439738      1.121761      1.142135      0.705699  \n",
       "min       43.000000    326.000000      0.000000      0.000000      0.000000  \n",
       "25%       56.000000    950.000000      4.710000      4.720000      2.910000  \n",
       "50%       57.000000   2401.000000      5.700000      5.710000      3.530000  \n",
       "75%       59.000000   5324.250000      6.540000      6.540000      4.040000  \n",
       "max       95.000000  18823.000000     10.740000     58.900000     31.800000  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamond_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "diamond_df = diamond_df.drop(diamond_df[diamond_df[\"x\"]==0].index)\n",
    "diamond_df = diamond_df.drop(diamond_df[diamond_df[\"y\"]==0].index)\n",
    "diamond_df = diamond_df.drop(diamond_df[diamond_df[\"z\"]==0].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loại bỏ 1% giá trị lớn hơn phân vị 99% \n",
    "diamond_df = diamond_df[diamond_df['depth'] < diamond_df['depth'].quantile(0.99)]\n",
    "diamond_df = diamond_df[diamond_df['table'] < diamond_df['table'].quantile(0.99)]\n",
    "diamond_df = diamond_df[diamond_df['x'] < diamond_df['x'].quantile(0.99)]\n",
    "diamond_df = diamond_df[diamond_df['y'] < diamond_df['y'].quantile(0.99)]\n",
    "diamond_df = diamond_df[diamond_df['z'] < diamond_df['z'].quantile(0.99)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>carat</th>\n",
       "      <th>cut</th>\n",
       "      <th>color</th>\n",
       "      <th>clarity</th>\n",
       "      <th>depth</th>\n",
       "      <th>table</th>\n",
       "      <th>price</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.23</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>61.5</td>\n",
       "      <td>55.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.95</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.21</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>59.8</td>\n",
       "      <td>61.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.89</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>62.4</td>\n",
       "      <td>58.0</td>\n",
       "      <td>334</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.23</td>\n",
       "      <td>2.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>63.3</td>\n",
       "      <td>58.0</td>\n",
       "      <td>335</td>\n",
       "      <td>4.34</td>\n",
       "      <td>4.35</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.24</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>62.8</td>\n",
       "      <td>57.0</td>\n",
       "      <td>336</td>\n",
       "      <td>3.94</td>\n",
       "      <td>3.96</td>\n",
       "      <td>2.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>62.3</td>\n",
       "      <td>57.0</td>\n",
       "      <td>336</td>\n",
       "      <td>3.95</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.26</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>61.9</td>\n",
       "      <td>55.0</td>\n",
       "      <td>337</td>\n",
       "      <td>4.07</td>\n",
       "      <td>4.11</td>\n",
       "      <td>2.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.22</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>65.1</td>\n",
       "      <td>61.0</td>\n",
       "      <td>337</td>\n",
       "      <td>3.87</td>\n",
       "      <td>3.78</td>\n",
       "      <td>2.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.23</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>59.4</td>\n",
       "      <td>61.0</td>\n",
       "      <td>338</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.05</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>64.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>339</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.28</td>\n",
       "      <td>2.73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    carat  cut  color  clarity  depth  table  price     x     y     z\n",
       "0    0.23    4      5        1   61.5   55.0    326  3.95  3.98  2.43\n",
       "1    0.21    3      5        2   59.8   61.0    326  3.89  3.84  2.31\n",
       "3    0.29    3      1        3   62.4   58.0    334  4.20  4.23  2.63\n",
       "4    0.31    1      0        1   63.3   58.0    335  4.34  4.35  2.75\n",
       "5    0.24    2      0        5   62.8   57.0    336  3.94  3.96  2.48\n",
       "6    0.24    2      1        6   62.3   57.0    336  3.95  3.98  2.47\n",
       "7    0.26    2      2        2   61.9   55.0    337  4.07  4.11  2.53\n",
       "8    0.22    0      5        3   65.1   61.0    337  3.87  3.78  2.49\n",
       "9    0.23    2      2        4   59.4   61.0    338  4.00  4.05  2.39\n",
       "10   0.30    1      0        2   64.0   55.0    339  4.25  4.28  2.73"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamond_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = diamond_df.drop(['price'], axis=1)\n",
    "y = diamond_df['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_arr = X.to_numpy()\n",
    "y_arr  = y.to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(51130, 9)\n",
      "(51130,)\n"
     ]
    }
   ],
   "source": [
    "print(X_arr.shape)\n",
    "print(y_arr.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_arr[:int(X_arr.shape[0]*0.8)]\n",
    "y_train = y_arr[:int(X_arr.shape[0]*0.8)]\n",
    "X_test = X_arr[int(X_arr.shape[0]*0.8):]\n",
    "y_test = y_arr[int(X_arr.shape[0]*0.8):]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "xmean =  X_train.mean(axis = 0)\n",
    "xstd = X_train.std(axis=0)\n",
    "X_train = (X_train - xmean)/xstd\n",
    "X_test = (X_test -  xmean)/xstd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = np.concatenate((np.ones((X_train.shape[0], 1)), X_train), axis=1)\n",
    "X_test = np.concatenate((np.ones((X_test.shape[0], 1)), X_test), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(40904, 10) (40904,) (10226, 10) (10226,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape, y_train.shape, X_test.shape, y_test.shape )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/1000 - Loss: 2391271.112571886\n",
      "Epoch 2/1000 - Loss: 2787188.2243446456\n",
      "Epoch 3/1000 - Loss: 2915311.8273383193\n",
      "Epoch 4/1000 - Loss: 2843867.432967861\n",
      "Epoch 5/1000 - Loss: 2647444.7684074612\n",
      "Epoch 6/1000 - Loss: 2386412.559669386\n",
      "Epoch 7/1000 - Loss: 2103369.9018228995\n",
      "Epoch 8/1000 - Loss: 1825595.0333935318\n",
      "Epoch 9/1000 - Loss: 1568904.8455635535\n",
      "Epoch 10/1000 - Loss: 1341218.6176584046\n",
      "Epoch 11/1000 - Loss: 1145343.1445350484\n",
      "Epoch 12/1000 - Loss: 980972.1640124394\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 13/1000 - Loss: 846044.905281005\n",
      "Epoch 14/1000 - Loss: 737630.0773119443\n",
      "Epoch 15/1000 - Loss: 652477.7972483559\n",
      "Epoch 16/1000 - Loss: 587348.0874099575\n",
      "Epoch 17/1000 - Loss: 539193.6828403333\n",
      "Epoch 18/1000 - Loss: 505250.59604046855\n",
      "Epoch 19/1000 - Loss: 483072.13428382046\n",
      "Epoch 20/1000 - Loss: 470529.6549626927\n",
      "Epoch 21/1000 - Loss: 465794.9222148087\n",
      "Epoch 22/1000 - Loss: 467313.3366311038\n",
      "Epoch 23/1000 - Loss: 473773.66406924993\n",
      "Epoch 24/1000 - Loss: 484077.55133852153\n",
      "Epoch 25/1000 - Loss: 497310.6420604825\n",
      "Epoch 26/1000 - Loss: 512716.1942327464\n",
      "Epoch 27/1000 - Loss: 529671.5511328896\n",
      "Epoch 28/1000 - Loss: 547667.497085223\n",
      "Epoch 29/1000 - Loss: 566290.3533172898\n",
      "Epoch 30/1000 - Loss: 585206.5812868737\n",
      "Epoch 31/1000 - Loss: 604149.6261511641\n",
      "Epoch 32/1000 - Loss: 622908.7291977084\n",
      "Epoch 33/1000 - Loss: 641319.4511839547\n",
      "Epoch 34/1000 - Loss: 659255.6701344758\n",
      "Epoch 35/1000 - Loss: 676622.8421273845\n",
      "Epoch 36/1000 - Loss: 693352.3390105339\n",
      "Epoch 37/1000 - Loss: 709396.701200017\n",
      "Epoch 38/1000 - Loss: 724725.6659170142\n",
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      "Epoch 768/1000 - Loss: 692939.7281333515\n",
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      "Epoch 800/1000 - Loss: 689005.0467336668\n",
      "Epoch 801/1000 - Loss: 688887.2966483183\n",
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      "Epoch 820/1000 - Loss: 686707.1871606646\n",
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      "Epoch 849/1000 - Loss: 683579.7366406914\n",
      "Epoch 850/1000 - Loss: 683476.013710008\n",
      "Epoch 851/1000 - Loss: 683372.5576501501\n",
      "Epoch 852/1000 - Loss: 683269.367722806\n",
      "Epoch 853/1000 - Loss: 683166.443191791\n",
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      "Epoch 855/1000 - Loss: 682961.3873846098\n",
      "Epoch 856/1000 - Loss: 682859.2546466556\n",
      "Epoch 857/1000 - Loss: 682757.3843814412\n",
      "Epoch 858/1000 - Loss: 682655.7758633257\n",
      "Epoch 859/1000 - Loss: 682554.428368756\n",
      "Epoch 860/1000 - Loss: 682453.3411762648\n",
      "Epoch 861/1000 - Loss: 682352.513566463\n",
      "Epoch 862/1000 - Loss: 682251.9448220311\n",
      "Epoch 863/1000 - Loss: 682151.6342277173\n",
      "Epoch 864/1000 - Loss: 682051.5810703253\n",
      "Epoch 865/1000 - Loss: 681951.7846387171\n",
      "Epoch 866/1000 - Loss: 681852.2442237985\n",
      "Epoch 867/1000 - Loss: 681752.9591185186\n",
      "Epoch 868/1000 - Loss: 681653.9286178601\n",
      "Epoch 869/1000 - Loss: 681555.1520188353\n",
      "Epoch 870/1000 - Loss: 681456.6286204814\n",
      "Epoch 871/1000 - Loss: 681358.3577238512\n",
      "Epoch 872/1000 - Loss: 681260.3386320078\n",
      "Epoch 873/1000 - Loss: 681162.5706500234\n",
      "Epoch 874/1000 - Loss: 681065.0530849647\n",
      "Epoch 875/1000 - Loss: 680967.7852458981\n",
      "Epoch 876/1000 - Loss: 680870.7664438715\n",
      "Epoch 877/1000 - Loss: 680773.9959919202\n",
      "Epoch 878/1000 - Loss: 680677.4732050527\n",
      "Epoch 879/1000 - Loss: 680581.1974002473\n",
      "Epoch 880/1000 - Loss: 680485.1678964485\n",
      "Epoch 881/1000 - Loss: 680389.384014559\n",
      "Epoch 882/1000 - Loss: 680293.8450774346\n",
      "Epoch 883/1000 - Loss: 680198.5504098763\n",
      "Epoch 884/1000 - Loss: 680103.4993386295\n",
      "Epoch 885/1000 - Loss: 680008.6911923746\n",
      "Epoch 886/1000 - Loss: 679914.12530172\n",
      "Epoch 887/1000 - Loss: 679819.8009992021\n",
      "Epoch 888/1000 - Loss: 679725.717619272\n",
      "Epoch 889/1000 - Loss: 679631.8744982964\n",
      "Epoch 890/1000 - Loss: 679538.2709745485\n",
      "Epoch 891/1000 - Loss: 679444.9063882047\n",
      "Epoch 892/1000 - Loss: 679351.7800813357\n",
      "Epoch 893/1000 - Loss: 679258.891397904\n",
      "Epoch 894/1000 - Loss: 679166.2396837577\n",
      "Epoch 895/1000 - Loss: 679073.824286622\n",
      "Epoch 896/1000 - Loss: 678981.6445560999\n",
      "Epoch 897/1000 - Loss: 678889.6998436586\n",
      "Epoch 898/1000 - Loss: 678797.9895026323\n",
      "Epoch 899/1000 - Loss: 678706.5128882094\n",
      "Epoch 900/1000 - Loss: 678615.2693574331\n",
      "Epoch 901/1000 - Loss: 678524.2582691937\n",
      "Epoch 902/1000 - Loss: 678433.478984219\n",
      "Epoch 903/1000 - Loss: 678342.9308650752\n",
      "Epoch 904/1000 - Loss: 678252.6132761572\n",
      "Epoch 905/1000 - Loss: 678162.5255836876\n",
      "Epoch 906/1000 - Loss: 678072.6671557078\n",
      "Epoch 907/1000 - Loss: 677983.0373620715\n",
      "Epoch 908/1000 - Loss: 677893.6355744422\n",
      "Epoch 909/1000 - Loss: 677804.461166289\n",
      "Epoch 910/1000 - Loss: 677715.5135128767\n",
      "Epoch 911/1000 - Loss: 677626.7919912642\n",
      "Epoch 912/1000 - Loss: 677538.2959802994\n",
      "Epoch 913/1000 - Loss: 677450.0248606105\n",
      "Epoch 914/1000 - Loss: 677361.978014604\n",
      "Epoch 915/1000 - Loss: 677274.1548264584\n",
      "Epoch 916/1000 - Loss: 677186.5546821197\n",
      "Epoch 917/1000 - Loss: 677099.1769692946\n",
      "Epoch 918/1000 - Loss: 677012.0210774473\n",
      "Epoch 919/1000 - Loss: 676925.0863977916\n",
      "Epoch 920/1000 - Loss: 676838.3723232896\n",
      "Epoch 921/1000 - Loss: 676751.8782486432\n",
      "Epoch 922/1000 - Loss: 676665.6035702886\n",
      "Epoch 923/1000 - Loss: 676579.547686398\n",
      "Epoch 924/1000 - Loss: 676493.7099968633\n",
      "Epoch 925/1000 - Loss: 676408.089903301\n",
      "Epoch 926/1000 - Loss: 676322.6868090401\n",
      "Epoch 927/1000 - Loss: 676237.5001191242\n",
      "Epoch 928/1000 - Loss: 676152.5292402994\n",
      "Epoch 929/1000 - Loss: 676067.7735810124\n",
      "Epoch 930/1000 - Loss: 675983.2325514072\n",
      "Epoch 931/1000 - Loss: 675898.9055633174\n",
      "Epoch 932/1000 - Loss: 675814.7920302607\n",
      "Epoch 933/1000 - Loss: 675730.8913674385\n",
      "Epoch 934/1000 - Loss: 675647.2029917266\n",
      "Epoch 935/1000 - Loss: 675563.7263216701\n",
      "Epoch 936/1000 - Loss: 675480.4607774806\n",
      "Epoch 937/1000 - Loss: 675397.4057810316\n",
      "Epoch 938/1000 - Loss: 675314.5607558538\n",
      "Epoch 939/1000 - Loss: 675231.925127127\n",
      "Epoch 940/1000 - Loss: 675149.498321676\n",
      "Epoch 941/1000 - Loss: 675067.2797679716\n",
      "Epoch 942/1000 - Loss: 674985.2688961166\n",
      "Epoch 943/1000 - Loss: 674903.4651378511\n",
      "Epoch 944/1000 - Loss: 674821.8679265367\n",
      "Epoch 945/1000 - Loss: 674740.4766971614\n",
      "Epoch 946/1000 - Loss: 674659.2908863296\n",
      "Epoch 947/1000 - Loss: 674578.3099322569\n",
      "Epoch 948/1000 - Loss: 674497.533274769\n",
      "Epoch 949/1000 - Loss: 674416.9603552953\n",
      "Epoch 950/1000 - Loss: 674336.5906168616\n",
      "Epoch 951/1000 - Loss: 674256.4235040899\n",
      "Epoch 952/1000 - Loss: 674176.4584631909\n",
      "Epoch 953/1000 - Loss: 674096.6949419596\n",
      "Epoch 954/1000 - Loss: 674017.1323897709\n",
      "Epoch 955/1000 - Loss: 673937.7702575753\n",
      "Epoch 956/1000 - Loss: 673858.6079978949\n",
      "Epoch 957/1000 - Loss: 673779.6450648155\n",
      "Epoch 958/1000 - Loss: 673700.8809139866\n",
      "Epoch 959/1000 - Loss: 673622.315002615\n",
      "Epoch 960/1000 - Loss: 673543.9467894572\n",
      "Epoch 961/1000 - Loss: 673465.7757348208\n",
      "Epoch 962/1000 - Loss: 673387.8013005551\n",
      "Epoch 963/1000 - Loss: 673310.0229500484\n",
      "Epoch 964/1000 - Loss: 673232.4401482231\n",
      "Epoch 965/1000 - Loss: 673155.0523615307\n",
      "Epoch 966/1000 - Loss: 673077.8590579482\n",
      "Epoch 967/1000 - Loss: 673000.8597069752\n",
      "Epoch 968/1000 - Loss: 672924.0537796252\n",
      "Epoch 969/1000 - Loss: 672847.4407484244\n",
      "Epoch 970/1000 - Loss: 672771.0200874071\n",
      "Epoch 971/1000 - Loss: 672694.7912721107\n",
      "Epoch 972/1000 - Loss: 672618.7537795694\n",
      "Epoch 973/1000 - Loss: 672542.9070883144\n",
      "Epoch 974/1000 - Loss: 672467.2506783635\n",
      "Epoch 975/1000 - Loss: 672391.7840312235\n",
      "Epoch 976/1000 - Loss: 672316.5066298785\n",
      "Epoch 977/1000 - Loss: 672241.4179587928\n",
      "Epoch 978/1000 - Loss: 672166.5175039014\n",
      "Epoch 979/1000 - Loss: 672091.8047526077\n",
      "Epoch 980/1000 - Loss: 672017.2791937788\n",
      "Epoch 981/1000 - Loss: 671942.9403177414\n",
      "Epoch 982/1000 - Loss: 671868.7876162778\n",
      "Epoch 983/1000 - Loss: 671794.8205826207\n",
      "Epoch 984/1000 - Loss: 671721.0387114497\n",
      "Epoch 985/1000 - Loss: 671647.4414988876\n",
      "Epoch 986/1000 - Loss: 671574.0284424949\n",
      "Epoch 987/1000 - Loss: 671500.7990412649\n",
      "Epoch 988/1000 - Loss: 671427.7527956235\n",
      "Epoch 989/1000 - Loss: 671354.8892074194\n",
      "Epoch 990/1000 - Loss: 671282.2077799244\n",
      "Epoch 991/1000 - Loss: 671209.708017828\n",
      "Epoch 992/1000 - Loss: 671137.3894272319\n",
      "Epoch 993/1000 - Loss: 671065.2515156465\n",
      "Epoch 994/1000 - Loss: 670993.2937919869\n",
      "Epoch 995/1000 - Loss: 670921.5157665708\n",
      "Epoch 996/1000 - Loss: 670849.9169511127\n",
      "Epoch 997/1000 - Loss: 670778.4968587162\n",
      "Epoch 998/1000 - Loss: 670707.2550038765\n",
      "Epoch 999/1000 - Loss: 670636.1909024721\n",
      "Epoch 1000/1000 - Loss: 670565.304071761\n"
     ]
    }
   ],
   "source": [
    "N = X_train.shape[0]\n",
    "n_epochs = 1000\n",
    "m = 1000\n",
    "learning_rate = 0.001\n",
    "\n",
    "# khởi tạo giá trị tham số\n",
    "theta = np.random.randn(10, 1)\n",
    "losses = []\n",
    "\n",
    "for epoch in range(n_epochs):\n",
    "    for i in range(0, N, m):\n",
    "        # lấy 1 sample            \n",
    "        x = X_train[i:i+m, :]       \n",
    "        y = y_train[i:i+m]\n",
    "        y = y[:, np.newaxis]\n",
    "\n",
    "        # predict y_hat\n",
    "        y_hat = x.dot(theta)\n",
    "                     \n",
    "        # compute loss\n",
    "        loss = np.multiply((y_hat-y), (y_hat-y))\n",
    "        losses.append(np.mean(loss))\n",
    "        \n",
    "        # compute gradient\n",
    "        k = 2*(y_hat-y)\n",
    "        gradients = x.T.dot(k)\n",
    "\n",
    "        # update weights\n",
    "        theta = theta - learning_rate*(gradients/m)\n",
    "\n",
    "    print(f\"Epoch {epoch+1}/{n_epochs} - Loss: {losses[-1]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE: 1537479.8007517476\n"
     ]
    }
   ],
   "source": [
    "# Đánh giá trên tập test\n",
    "test_predictions = X_test.dot(theta)\n",
    "li = np.mean((test_predictions - y_test)*(test_predictions - y_test))\n",
    "print(f\"MSE: {li}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 955.1099583289903\n"
     ]
    }
   ],
   "source": [
    "li = np.mean(np.abs(test_predictions - y_test))\n",
    "print(f\"MAE: {li}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez('weight.npz', x_mean = xmean, x_std =xstd, theta =theta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez('data.npz', X_train = X_train, y_train =y_train, X_test = X_test, y_test = y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "aio2023",
   "language": "python",
   "name": "aio2023"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}