diff --git a/Untitled3.ipynb b/Untitled3.ipynb
new file mode 100644
index 0000000..292a5f6
--- /dev/null
+++ b/Untitled3.ipynb
@@ -0,0 +1,802 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Untitled3.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "collapsed_sections": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "[View in Colaboratory](https://colab.research.google.com/github/sharad16j/Assignment-3/blob/Sharad16j/Untitled3.ipynb)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "o2loOKwzYWKu",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import numpy as np\n",
+        "import pandas as pd"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "0uXrVQm6c8ZW",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "jKAg5w-ec8oV",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "outputId": "44507123-6a05-46d3-bc97-e57069f908f3"
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df.head(5)"
+      ],
+      "execution_count": 32,
+      "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>1</th>\n",
+              "      <th>14.23</th>\n",
+              "      <th>1.71</th>\n",
+              "      <th>2.43</th>\n",
+              "      <th>15.6</th>\n",
+              "      <th>127</th>\n",
+              "      <th>2.8</th>\n",
+              "      <th>3.06</th>\n",
+              "      <th>.28</th>\n",
+              "      <th>2.29</th>\n",
+              "      <th>5.64</th>\n",
+              "      <th>1.04</th>\n",
+              "      <th>3.92</th>\n",
+              "      <th>1065</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.20</td>\n",
+              "      <td>1.78</td>\n",
+              "      <td>2.14</td>\n",
+              "      <td>11.2</td>\n",
+              "      <td>100</td>\n",
+              "      <td>2.65</td>\n",
+              "      <td>2.76</td>\n",
+              "      <td>0.26</td>\n",
+              "      <td>1.28</td>\n",
+              "      <td>4.38</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>1050</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.16</td>\n",
+              "      <td>2.36</td>\n",
+              "      <td>2.67</td>\n",
+              "      <td>18.6</td>\n",
+              "      <td>101</td>\n",
+              "      <td>2.80</td>\n",
+              "      <td>3.24</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>2.81</td>\n",
+              "      <td>5.68</td>\n",
+              "      <td>1.03</td>\n",
+              "      <td>3.17</td>\n",
+              "      <td>1185</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.37</td>\n",
+              "      <td>1.95</td>\n",
+              "      <td>2.50</td>\n",
+              "      <td>16.8</td>\n",
+              "      <td>113</td>\n",
+              "      <td>3.85</td>\n",
+              "      <td>3.49</td>\n",
+              "      <td>0.24</td>\n",
+              "      <td>2.18</td>\n",
+              "      <td>7.80</td>\n",
+              "      <td>0.86</td>\n",
+              "      <td>3.45</td>\n",
+              "      <td>1480</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.24</td>\n",
+              "      <td>2.59</td>\n",
+              "      <td>2.87</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>118</td>\n",
+              "      <td>2.80</td>\n",
+              "      <td>2.69</td>\n",
+              "      <td>0.39</td>\n",
+              "      <td>1.82</td>\n",
+              "      <td>4.32</td>\n",
+              "      <td>1.04</td>\n",
+              "      <td>2.93</td>\n",
+              "      <td>735</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.20</td>\n",
+              "      <td>1.76</td>\n",
+              "      <td>2.45</td>\n",
+              "      <td>15.2</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.34</td>\n",
+              "      <td>1.97</td>\n",
+              "      <td>6.75</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>2.85</td>\n",
+              "      <td>1450</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29  5.64  1.04  3.92  \\\n",
+              "0  1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28  4.38  1.05  3.40   \n",
+              "1  1  13.16  2.36  2.67  18.6  101  2.80  3.24  0.30  2.81  5.68  1.03  3.17   \n",
+              "2  1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18  7.80  0.86  3.45   \n",
+              "3  1  13.24  2.59  2.87  21.0  118  2.80  2.69  0.39  1.82  4.32  1.04  2.93   \n",
+              "4  1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97  6.75  1.05  2.85   \n",
+              "\n",
+              "   1065  \n",
+              "0  1050  \n",
+              "1  1185  \n",
+              "2  1480  \n",
+              "3   735  \n",
+              "4  1450  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 32
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GhWPuXKrddSS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 2223
+        },
+        "outputId": "a7f4ce19-f311-405f-d70f-5dde1fbadb51"
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df_copy=wine_df.iloc[::2]\n",
+        "print(wine_df_copy)"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "     1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29       5.64  1.04  \\\n",
+            "0    1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28   4.380000  1.05   \n",
+            "2    1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18   7.800000  0.86   \n",
+            "4    1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97   6.750000  1.05   \n",
+            "6    1  14.06  2.15  2.61  17.6  121  2.60  2.51  0.31  1.25   5.050000  1.06   \n",
+            "8    1  13.86  1.35  2.27  16.0   98  2.98  3.15  0.22  1.85   7.220000  1.01   \n",
+            "10   1  14.12  1.48  2.32  16.8   95  2.20  2.43  0.26  1.57   5.000000  1.17   \n",
+            "12   1  14.75  1.73  2.39  11.4   91  3.10  3.69  0.43  2.81   5.400000  1.25   \n",
+            "14   1  13.63  1.81  2.70  17.2  112  2.85  2.91  0.30  1.46   7.300000  1.28   \n",
+            "16   1  13.83  1.57  2.62  20.0  115  2.95  3.40  0.40  1.72   6.600000  1.13   \n",
+            "18   1  13.64  3.10  2.56  15.2  116  2.70  3.03  0.17  1.66   5.100000  0.96   \n",
+            "20   1  12.93  3.80  2.65  18.6  102  2.41  2.41  0.25  1.98   4.500000  1.03   \n",
+            "22   1  12.85  1.60  2.52  17.8   95  2.48  2.37  0.26  1.46   3.930000  1.09   \n",
+            "24   1  13.05  2.05  3.22  25.0  124  2.63  2.68  0.47  1.92   3.580000  1.13   \n",
+            "26   1  13.30  1.72  2.14  17.0   94  2.40  2.19  0.27  1.35   3.950000  1.02   \n",
+            "28   1  14.02  1.68  2.21  16.0   96  2.65  2.33  0.26  1.98   4.700000  1.04   \n",
+            "30   1  13.58  1.66  2.36  19.1  106  2.86  3.19  0.22  1.95   6.900000  1.09   \n",
+            "32   1  13.76  1.53  2.70  19.5  132  2.95  2.74  0.50  1.35   5.400000  1.25   \n",
+            "34   1  13.48  1.81  2.41  20.5  100  2.70  2.98  0.26  1.86   5.100000  1.04   \n",
+            "36   1  13.05  1.65  2.55  18.0   98  2.45  2.43  0.29  1.44   4.250000  1.12   \n",
+            "38   1  14.22  3.99  2.51  13.2  128  3.00  3.04  0.20  2.08   5.100000  0.89   \n",
+            "40   1  13.41  3.84  2.12  18.8   90  2.45  2.68  0.27  1.48   4.280000  0.91   \n",
+            "42   1  13.24  3.98  2.29  17.5  103  2.64  2.63  0.32  1.66   4.360000  0.82   \n",
+            "44   1  14.21  4.04  2.44  18.9  111  2.85  2.65  0.30  1.25   5.240000  0.87   \n",
+            "46   1  13.90  1.68  2.12  16.0  101  3.10  3.39  0.21  2.14   6.100000  0.91   \n",
+            "48   1  13.94  1.73  2.27  17.4  108  2.88  3.54  0.32  2.08   8.900000  1.12   \n",
+            "50   1  13.83  1.65  2.60  17.2   94  2.45  2.99  0.22  2.29   5.600000  1.24   \n",
+            "52   1  13.77  1.90  2.68  17.1  115  3.00  2.79  0.39  1.68   6.300000  1.13   \n",
+            "54   1  13.56  1.73  2.46  20.5  116  2.96  2.78  0.20  2.45   6.250000  0.98   \n",
+            "56   1  13.29  1.97  2.68  16.8  102  3.00  3.23  0.31  1.66   6.000000  1.07   \n",
+            "58   2  12.37  0.94  1.36  10.6   88  1.98  0.57  0.28  0.42   1.950000  1.05   \n",
+            "..  ..    ...   ...   ...   ...  ...   ...   ...   ...   ...        ...   ...   \n",
+            "118  2  12.00  3.43  2.00  19.0   87  2.00  1.64  0.37  1.87   1.280000  0.93   \n",
+            "120  2  11.56  2.05  3.23  28.5  119  3.18  5.08  0.47  1.87   6.000000  0.93   \n",
+            "122  2  13.05  5.80  2.13  21.5   86  2.62  2.65  0.30  2.01   2.600000  0.73   \n",
+            "124  2  12.07  2.16  2.17  21.0   85  2.60  2.65  0.37  1.35   2.760000  0.86   \n",
+            "126  2  11.79  2.13  2.78  28.5   92  2.13  2.24  0.58  1.76   3.000000  0.97   \n",
+            "128  2  12.04  4.30  2.38  22.0   80  2.10  1.75  0.42  1.35   2.600000  0.79   \n",
+            "130  3  12.88  2.99  2.40  20.0  104  1.30  1.22  0.24  0.83   5.400000  0.74   \n",
+            "132  3  12.70  3.55  2.36  21.5  106  1.70  1.20  0.17  0.84   5.000000  0.78   \n",
+            "134  3  12.60  2.46  2.20  18.5   94  1.62  0.66  0.63  0.94   7.100000  0.73   \n",
+            "136  3  12.53  5.51  2.64  25.0   96  1.79  0.60  0.63  1.10   5.000000  0.82   \n",
+            "138  3  12.84  2.96  2.61  24.0  101  2.32  0.60  0.53  0.81   4.920000  0.89   \n",
+            "140  3  13.36  2.56  2.35  20.0   89  1.40  0.50  0.37  0.64   5.600000  0.70   \n",
+            "142  3  13.62  4.95  2.35  20.0   92  2.00  0.80  0.47  1.02   4.400000  0.91   \n",
+            "144  3  13.16  3.57  2.15  21.0  102  1.50  0.55  0.43  1.30   4.000000  0.60   \n",
+            "146  3  12.87  4.61  2.48  21.5   86  1.70  0.65  0.47  0.86   7.650000  0.54   \n",
+            "148  3  13.08  3.90  2.36  21.5  113  1.41  1.39  0.34  1.14   9.400000  0.57   \n",
+            "150  3  12.79  2.67  2.48  22.0  112  1.48  1.36  0.24  1.26  10.800000  0.48   \n",
+            "152  3  13.23  3.30  2.28  18.5   98  1.80  0.83  0.61  1.87  10.520000  0.56   \n",
+            "154  3  13.17  5.19  2.32  22.0   93  1.74  0.63  0.61  1.55   7.900000  0.60   \n",
+            "156  3  12.45  3.03  2.64  27.0   97  1.90  0.58  0.63  1.14   7.500000  0.67   \n",
+            "158  3  13.48  1.67  2.64  22.5   89  2.60  1.10  0.52  2.29  11.750000  0.57   \n",
+            "160  3  13.69  3.26  2.54  20.0  107  1.83  0.56  0.50  0.80   5.880000  0.96   \n",
+            "162  3  12.96  3.45  2.35  18.5  106  1.39  0.70  0.40  0.94   5.280000  0.68   \n",
+            "164  3  13.73  4.36  2.26  22.5   88  1.28  0.47  0.52  1.15   6.620000  0.78   \n",
+            "166  3  12.82  3.37  2.30  19.5   88  1.48  0.66  0.40  0.97  10.260000  0.72   \n",
+            "168  3  13.40  4.60  2.86  25.0  112  1.98  0.96  0.27  1.11   8.500000  0.67   \n",
+            "170  3  12.77  2.39  2.28  19.5   86  1.39  0.51  0.48  0.64   9.899999  0.57   \n",
+            "172  3  13.71  5.65  2.45  20.5   95  1.68  0.61  0.52  1.06   7.700000  0.64   \n",
+            "174  3  13.27  4.28  2.26  20.0  120  1.59  0.69  0.43  1.35  10.200000  0.59   \n",
+            "176  3  14.13  4.10  2.74  24.5   96  2.05  0.76  0.56  1.35   9.200000  0.61   \n",
+            "\n",
+            "     3.92  1065  \n",
+            "0    3.40  1050  \n",
+            "2    3.45  1480  \n",
+            "4    2.85  1450  \n",
+            "6    3.58  1295  \n",
+            "8    3.55  1045  \n",
+            "10   2.82  1280  \n",
+            "12   2.73  1150  \n",
+            "14   2.88  1310  \n",
+            "16   2.57  1130  \n",
+            "18   3.36   845  \n",
+            "20   3.52   770  \n",
+            "22   3.63  1015  \n",
+            "24   3.20   830  \n",
+            "26   2.77  1285  \n",
+            "28   3.59  1035  \n",
+            "30   2.88  1515  \n",
+            "32   3.00  1235  \n",
+            "34   3.47   920  \n",
+            "36   2.51  1105  \n",
+            "38   3.53   760  \n",
+            "40   3.00  1035  \n",
+            "42   3.00   680  \n",
+            "44   3.33  1080  \n",
+            "46   3.33   985  \n",
+            "48   3.10  1260  \n",
+            "50   3.37  1265  \n",
+            "52   2.93  1375  \n",
+            "54   3.03  1120  \n",
+            "56   2.84  1270  \n",
+            "58   1.82   520  \n",
+            "..    ...   ...  \n",
+            "118  3.05   564  \n",
+            "120  3.69   465  \n",
+            "122  3.10   380  \n",
+            "124  3.28   378  \n",
+            "126  2.44   466  \n",
+            "128  2.57   580  \n",
+            "130  1.42   530  \n",
+            "132  1.29   600  \n",
+            "134  1.58   695  \n",
+            "136  1.69   515  \n",
+            "138  2.15   590  \n",
+            "140  2.47   780  \n",
+            "142  2.05   550  \n",
+            "144  1.68   830  \n",
+            "146  1.86   625  \n",
+            "148  1.33   550  \n",
+            "150  1.47   480  \n",
+            "152  1.51   675  \n",
+            "154  1.48   725  \n",
+            "156  1.73   880  \n",
+            "158  1.78   620  \n",
+            "160  1.82   680  \n",
+            "162  1.75   675  \n",
+            "164  1.75   520  \n",
+            "166  1.75   685  \n",
+            "168  1.92   630  \n",
+            "170  1.63   470  \n",
+            "172  1.74   740  \n",
+            "174  1.56   835  \n",
+            "176  1.60   560  \n",
+            "\n",
+            "[89 rows x 14 columns]\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "yefNlVqZiLRR",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 224
+        },
+        "outputId": "ac533d45-f834-4683-d454-d4e56fbde734"
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df_copy.columns=['','Alcohol', 'Malic acid','Ash','Alcalinity of ash','Magnesium',' Total phenols',' Flavanoids',' Nonflavanoid phenols',' Proanthocyanins','Color intensity','Hue','OD280/OD315 of diluted wines','Proline' ]\n",
+        "wine_df_copy.head(5)"
+      ],
+      "execution_count": 79,
+      "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></th>\n",
+              "      <th>Alcohol</th>\n",
+              "      <th>Malic acid</th>\n",
+              "      <th>Ash</th>\n",
+              "      <th>Alcalinity of ash</th>\n",
+              "      <th>Magnesium</th>\n",
+              "      <th>Total phenols</th>\n",
+              "      <th>Flavanoids</th>\n",
+              "      <th>Nonflavanoid phenols</th>\n",
+              "      <th>Proanthocyanins</th>\n",
+              "      <th>Color intensity</th>\n",
+              "      <th>Hue</th>\n",
+              "      <th>OD280/OD315 of diluted wines</th>\n",
+              "      <th>Proline</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.20</td>\n",
+              "      <td>1.78</td>\n",
+              "      <td>2.14</td>\n",
+              "      <td>11.2</td>\n",
+              "      <td>100</td>\n",
+              "      <td>2.65</td>\n",
+              "      <td>2.76</td>\n",
+              "      <td>0.26</td>\n",
+              "      <td>1.28</td>\n",
+              "      <td>4.38</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>1050</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.37</td>\n",
+              "      <td>1.95</td>\n",
+              "      <td>2.50</td>\n",
+              "      <td>16.8</td>\n",
+              "      <td>113</td>\n",
+              "      <td>3.85</td>\n",
+              "      <td>3.49</td>\n",
+              "      <td>0.24</td>\n",
+              "      <td>2.18</td>\n",
+              "      <td>7.80</td>\n",
+              "      <td>0.86</td>\n",
+              "      <td>3.45</td>\n",
+              "      <td>1480</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.20</td>\n",
+              "      <td>1.76</td>\n",
+              "      <td>2.45</td>\n",
+              "      <td>15.2</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.34</td>\n",
+              "      <td>1.97</td>\n",
+              "      <td>6.75</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>2.85</td>\n",
+              "      <td>1450</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.06</td>\n",
+              "      <td>2.15</td>\n",
+              "      <td>2.61</td>\n",
+              "      <td>17.6</td>\n",
+              "      <td>121</td>\n",
+              "      <td>2.60</td>\n",
+              "      <td>2.51</td>\n",
+              "      <td>0.31</td>\n",
+              "      <td>1.25</td>\n",
+              "      <td>5.05</td>\n",
+              "      <td>1.06</td>\n",
+              "      <td>3.58</td>\n",
+              "      <td>1295</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.86</td>\n",
+              "      <td>1.35</td>\n",
+              "      <td>2.27</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>98</td>\n",
+              "      <td>2.98</td>\n",
+              "      <td>3.15</td>\n",
+              "      <td>0.22</td>\n",
+              "      <td>1.85</td>\n",
+              "      <td>7.22</td>\n",
+              "      <td>1.01</td>\n",
+              "      <td>3.55</td>\n",
+              "      <td>1045</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      Alcohol  Malic acid   Ash  Alcalinity of ash  Magnesium   Total phenols  \\\n",
+              "0  1    13.20        1.78  2.14               11.2        100            2.65   \n",
+              "2  1    14.37        1.95  2.50               16.8        113            3.85   \n",
+              "4  1    14.20        1.76  2.45               15.2        112            3.27   \n",
+              "6  1    14.06        2.15  2.61               17.6        121            2.60   \n",
+              "8  1    13.86        1.35  2.27               16.0         98            2.98   \n",
+              "\n",
+              "    Flavanoids   Nonflavanoid phenols   Proanthocyanins  Color intensity  \\\n",
+              "0         2.76                   0.26              1.28             4.38   \n",
+              "2         3.49                   0.24              2.18             7.80   \n",
+              "4         3.39                   0.34              1.97             6.75   \n",
+              "6         2.51                   0.31              1.25             5.05   \n",
+              "8         3.15                   0.22              1.85             7.22   \n",
+              "\n",
+              "    Hue  OD280/OD315 of diluted wines  Proline  \n",
+              "0  1.05                          3.40     1050  \n",
+              "2  0.86                          3.45     1480  \n",
+              "4  1.05                          2.85     1450  \n",
+              "6  1.06                          3.58     1295  \n",
+              "8  1.01                          3.55     1045  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 79
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "-yKgOgf0iLeE",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "outputId": "de111e03-1090-42fb-aa6e-279584e5000d"
+      },
+      "cell_type": "code",
+      "source": [
+        "for i in range(3):\n",
+        "  wine_df.iloc[i,0]='nan'\n",
+        "wine_df.head(5)"
+      ],
+      "execution_count": 81,
+      "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>1</th>\n",
+              "      <th>14.23</th>\n",
+              "      <th>1.71</th>\n",
+              "      <th>2.43</th>\n",
+              "      <th>15.6</th>\n",
+              "      <th>127</th>\n",
+              "      <th>2.8</th>\n",
+              "      <th>3.06</th>\n",
+              "      <th>.28</th>\n",
+              "      <th>2.29</th>\n",
+              "      <th>5.64</th>\n",
+              "      <th>1.04</th>\n",
+              "      <th>3.92</th>\n",
+              "      <th>1065</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>nan</td>\n",
+              "      <td>13.20</td>\n",
+              "      <td>1.78</td>\n",
+              "      <td>2.14</td>\n",
+              "      <td>11.2</td>\n",
+              "      <td>100</td>\n",
+              "      <td>2.65</td>\n",
+              "      <td>2.76</td>\n",
+              "      <td>0.26</td>\n",
+              "      <td>1.28</td>\n",
+              "      <td>4.38</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>1050</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>nan</td>\n",
+              "      <td>13.16</td>\n",
+              "      <td>2.36</td>\n",
+              "      <td>2.67</td>\n",
+              "      <td>18.6</td>\n",
+              "      <td>101</td>\n",
+              "      <td>2.80</td>\n",
+              "      <td>3.24</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>2.81</td>\n",
+              "      <td>5.68</td>\n",
+              "      <td>1.03</td>\n",
+              "      <td>3.17</td>\n",
+              "      <td>1185</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>nan</td>\n",
+              "      <td>14.37</td>\n",
+              "      <td>1.95</td>\n",
+              "      <td>2.50</td>\n",
+              "      <td>16.8</td>\n",
+              "      <td>113</td>\n",
+              "      <td>3.85</td>\n",
+              "      <td>3.49</td>\n",
+              "      <td>0.24</td>\n",
+              "      <td>2.18</td>\n",
+              "      <td>7.80</td>\n",
+              "      <td>0.86</td>\n",
+              "      <td>3.45</td>\n",
+              "      <td>1480</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1</td>\n",
+              "      <td>13.24</td>\n",
+              "      <td>2.59</td>\n",
+              "      <td>2.87</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>118</td>\n",
+              "      <td>2.80</td>\n",
+              "      <td>2.69</td>\n",
+              "      <td>0.39</td>\n",
+              "      <td>1.82</td>\n",
+              "      <td>4.32</td>\n",
+              "      <td>1.04</td>\n",
+              "      <td>2.93</td>\n",
+              "      <td>735</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1</td>\n",
+              "      <td>14.20</td>\n",
+              "      <td>1.76</td>\n",
+              "      <td>2.45</td>\n",
+              "      <td>15.2</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.34</td>\n",
+              "      <td>1.97</td>\n",
+              "      <td>6.75</td>\n",
+              "      <td>1.05</td>\n",
+              "      <td>2.85</td>\n",
+              "      <td>1450</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29  5.64  1.04  \\\n",
+              "0  nan  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28  4.38  1.05   \n",
+              "1  nan  13.16  2.36  2.67  18.6  101  2.80  3.24  0.30  2.81  5.68  1.03   \n",
+              "2  nan  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18  7.80  0.86   \n",
+              "3    1  13.24  2.59  2.87  21.0  118  2.80  2.69  0.39  1.82  4.32  1.04   \n",
+              "4    1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97  6.75  1.05   \n",
+              "\n",
+              "   3.92  1065  \n",
+              "0  3.40  1050  \n",
+              "1  3.17  1185  \n",
+              "2  3.45  1480  \n",
+              "3  2.93   735  \n",
+              "4  2.85  1450  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 81
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "aogc4nFqiLkW",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "59882f0b-c8bb-4954-cfc2-a906d47d7dff"
+      },
+      "cell_type": "code",
+      "source": [
+        "import random\n",
+        "number =[]\n",
+        "for i in range(10):\n",
+        "  number.append(random.randrange(1,160))\n",
+        "random=number\n",
+        "print(random)"
+      ],
+      "execution_count": 63,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "[27, 159, 81, 72, 47, 54, 99, 90, 150, 95]\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Ao_WMe0IiLpr",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "for i in range(10):\n",
+        "  wine_df.iloc[random[i],0]= 'nan'"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "4hbY81PMiLw1",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "6edf3b36-66fe-4988-8973-d448cf5397ea"
+      },
+      "cell_type": "code",
+      "source": [
+        "null=wine_df.isnull().sum()\n",
+        "print(null)"
+      ],
+      "execution_count": 86,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "0\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "U7L6mFRLiL31",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df =wine_df.notnull()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file