diff --git a/assignment3.ipynb b/assignment3.ipynb
new file mode 100644
index 0000000..f9890bd
--- /dev/null
+++ b/assignment3.ipynb
@@ -0,0 +1,855 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Untitled7.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "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/devjeetroy98/Assignment-3/blob/devjeetroy98/assignment3.ipynb)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "LWcsm3L8H4dr",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "LwZaCApSH-jp",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Assignment 3 Exercise"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "QVk2S0KmIBJf",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import numpy as np\n",
+        "import pandas as pd"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "x8Meb7A1IGYV",
+        "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": "zSyjiE3lIfQ-",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 198
+        },
+        "outputId": "78e9d912-a168-4613-d6ad-60cf502743bc"
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df.head(5)"
+      ],
+      "execution_count": 105,
+      "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",
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+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "\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": 105
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oWTlLp4sInOG",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 198
+        },
+        "outputId": "6266a206-2a4f-43ec-edc8-94c6491f0af6"
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df_copy=wine_df.copy()\n",
+        "wine_df_copy=wine_df_copy.drop(wine_df_copy.index[1::2])\n",
+        "wine_df_copy.head(5)"
+      ],
+      "execution_count": 109,
+      "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>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": [
+              "   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",
+              "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",
+              "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",
+              "6  1  14.06  2.15  2.61  17.6  121  2.60  2.51  0.31  1.25  5.05  1.06  3.58   \n",
+              "8  1  13.86  1.35  2.27  16.0   98  2.98  3.15  0.22  1.85  7.22  1.01  3.55   \n",
+              "\n",
+              "   1065  \n",
+              "0  1050  \n",
+              "2  1480  \n",
+              "4  1450  \n",
+              "6  1295  \n",
+              "8  1045  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 109
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Um9yuR6TJN00",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 233
+        },
+        "outputId": "b70e3bf4-feb1-4122-f9ac-03c10a753e1d"
+      },
+      "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": 111,
+      "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   Hue  \\\n",
+              "0        2.76                  0.26             1.28             4.38  1.05   \n",
+              "2        3.49                  0.24             2.18             7.80  0.86   \n",
+              "4        3.39                  0.34             1.97             6.75  1.05   \n",
+              "6        2.51                  0.31             1.25             5.05  1.06   \n",
+              "8        3.15                  0.22             1.85             7.22  1.01   \n",
+              "\n",
+              "   OD280/OD315 of diluted wines  Proline  \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  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 111
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iEg-rjhvK2qU",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 198
+        },
+        "outputId": "bb4993d7-43c5-4a39-adf4-c021f6309be7"
+      },
+      "cell_type": "code",
+      "source": [
+        "for i in range(3):\n",
+        "  wine_df.iloc[i,0]='NaN'\n",
+        "wine_df.head(5)"
+      ],
+      "execution_count": 112,
+      "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": 112
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "1--qiJgyLqs1",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 35
+        },
+        "outputId": "3d62e208-3024-4efc-daaf-7fe1b7cb396d"
+      },
+      "cell_type": "code",
+      "source": [
+        "import random\n",
+        "num=[]\n",
+        "for i in range(10):\n",
+        "  num.append(random.randrange(1,160))\n",
+        "random=num\n",
+        "print(random)"
+      ],
+      "execution_count": 113,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "[11, 75, 124, 7, 159, 90, 147, 56, 12, 104]\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GB84HdtVMJ5w",
+        "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": "iaUiKgLOLqr8",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 290
+        },
+        "outputId": "9fa0064d-d064-4df6-8ad1-b2e9cfe16039"
+      },
+      "cell_type": "code",
+      "source": [
+        "null=wine_df.isnull().sum()\n",
+        "print(null)"
+      ],
+      "execution_count": 116,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "1        0\n",
+            "14.23    0\n",
+            "1.71     0\n",
+            "2.43     0\n",
+            "15.6     0\n",
+            "127      0\n",
+            "2.8      0\n",
+            "3.06     0\n",
+            ".28      0\n",
+            "2.29     0\n",
+            "5.64     0\n",
+            "1.04     0\n",
+            "3.92     0\n",
+            "1065     0\n",
+            "dtype: int64\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "eg2hevEdLqq3",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "wine_df=wine_df.notnull()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file