NLP-3 csv to text.ipynb

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        "**Step 1: Data Pre-processing**\n",
        "\n",
        "**(ii) Working with csv file in Python**"
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            "text/plain": [
              "  Students Name  Study Hours (per day)  Grade (in %)\n",
              "0         Hanna                    6.0            53\n",
              "1          Anna                    7.0            60\n",
              "2        Alexei                    6.5            56\n",
              "3     Coinneach                    8.0            79\n",
              "4       Laurent                    6.6            58"
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              "      <th>Students Name</th>\n",
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              "      <td>Hanna</td>\n",
              "      <td>6.0</td>\n",
              "      <td>53</td>\n",
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              "      <td>Anna</td>\n",
              "      <td>7.0</td>\n",
              "      <td>60</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alexei</td>\n",
              "      <td>6.5</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Coinneach</td>\n",
              "      <td>8.0</td>\n",
              "      <td>79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Laurent</td>\n",
              "      <td>6.6</td>\n",
              "      <td>58</td>\n",
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      "source": [
        "# import required modules\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "csv_data = pd.read_csv('/content/Student Grade Dataset.csv')\n",
        "csv_data.head()"
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