Telco_Churn_Analysis.ipynb

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  "metadata": {
    "colab": {
      "name": "Telco Churn Analysis.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPAqiutPIK9HRx63UaWaYa/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/DataMinati/Super-Notebooks-1K/blob/main/Telco_Churn_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "Bfu4vPM8t0r8"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "xF1tK_sKtuD9",
        "outputId": "3c05bef9-a7e9-4cd1-89e9-c8569d5cda78"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>OnlineBackup</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>Contract</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>1</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>34</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.5</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>45</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9237-HQITU</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   customerID  gender  SeniorCitizen  ... MonthlyCharges TotalCharges  Churn\n",
              "0  7590-VHVEG  Female              0  ...          29.85        29.85     No\n",
              "1  5575-GNVDE    Male              0  ...          56.95       1889.5     No\n",
              "2  3668-QPYBK    Male              0  ...          53.85       108.15    Yes\n",
              "3  7795-CFOCW    Male              0  ...          42.30      1840.75     No\n",
              "4  9237-HQITU  Female              0  ...          70.70       151.65    Yes\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "url = 'https://raw.githubusercontent.com/MainakRepositor/Datasets-/master/telco%20customer%20churn.csv'\n",
        "data = pd.read_csv(url,error_bad_lines=False)\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ajl_ZfR9t9c6",
        "outputId": "a07c3e9d-7e5b-46b8-e4ac-562158f02f2e"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 7043 entries, 0 to 7042\n",
            "Data columns (total 21 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   customerID        7043 non-null   object \n",
            " 1   gender            7043 non-null   object \n",
            " 2   SeniorCitizen     7043 non-null   int64  \n",
            " 3   Partner           7043 non-null   object \n",
            " 4   Dependents        7043 non-null   object \n",
            " 5   tenure            7043 non-null   int64  \n",
            " 6   PhoneService      7043 non-null   object \n",
            " 7   MultipleLines     7043 non-null   object \n",
            " 8   InternetService   7043 non-null   object \n",
            " 9   OnlineSecurity    7043 non-null   object \n",
            " 10  OnlineBackup      7043 non-null   object \n",
            " 11  DeviceProtection  7043 non-null   object \n",
            " 12  TechSupport       7043 non-null   object \n",
            " 13  StreamingTV       7043 non-null   object \n",
            " 14  StreamingMovies   7043 non-null   object \n",
            " 15  Contract          7043 non-null   object \n",
            " 16  PaperlessBilling  7043 non-null   object \n",
            " 17  PaymentMethod     7043 non-null   object \n",
            " 18  MonthlyCharges    7043 non-null   float64\n",
            " 19  TotalCharges      7043 non-null   object \n",
            " 20  Churn             7043 non-null   object \n",
            "dtypes: float64(1), int64(2), object(18)\n",
            "memory usage: 1.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.TotalCharges = pd.to_numeric(data.TotalCharges, errors='coerce')\n",
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1WQEv0uBuDBV",
        "outputId": "fb9db212-fa32-4f02-d5fc-01047d77e8fc"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 7043 entries, 0 to 7042\n",
            "Data columns (total 21 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   customerID        7043 non-null   object \n",
            " 1   gender            7043 non-null   object \n",
            " 2   SeniorCitizen     7043 non-null   int64  \n",
            " 3   Partner           7043 non-null   object \n",
            " 4   Dependents        7043 non-null   object \n",
            " 5   tenure            7043 non-null   int64  \n",
            " 6   PhoneService      7043 non-null   object \n",
            " 7   MultipleLines     7043 non-null   object \n",
            " 8   InternetService   7043 non-null   object \n",
            " 9   OnlineSecurity    7043 non-null   object \n",
            " 10  OnlineBackup      7043 non-null   object \n",
            " 11  DeviceProtection  7043 non-null   object \n",
            " 12  TechSupport       7043 non-null   object \n",
            " 13  StreamingTV       7043 non-null   object \n",
            " 14  StreamingMovies   7043 non-null   object \n",
            " 15  Contract          7043 non-null   object \n",
            " 16  PaperlessBilling  7043 non-null   object \n",
            " 17  PaymentMethod     7043 non-null   object \n",
            " 18  MonthlyCharges    7043 non-null   float64\n",
            " 19  TotalCharges      7032 non-null   float64\n",
            " 20  Churn             7043 non-null   object \n",
            "dtypes: float64(2), int64(2), object(17)\n",
            "memory usage: 1.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.dropna(inplace = True)"
      ],
      "metadata": {
        "id": "5gzG4bexuJTI"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.drop([\"customerID\"],axis=1,inplace = True)"
      ],
      "metadata": {
        "id": "sIAUtpiBuMSS"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.gender = [1 if each == \"Male\" else 0 for each in data.gender]\n",
        "\n",
        "columns_to_convert = ['Partner', \n",
        "                      'Dependents', \n",
        "                      'PhoneService', \n",
        "                      'MultipleLines',\n",
        "                      'OnlineSecurity',\n",
        "                      'OnlineBackup',\n",
        "                      'DeviceProtection',\n",
        "                      'TechSupport',\n",
        "                      'StreamingTV',\n",
        "                      'StreamingMovies',\n",
        "                      'PaperlessBilling', \n",
        "                      'Churn']\n",
        "\n",
        "for item in columns_to_convert:\n",
        "    data[item] = [1 if each == \"Yes\" else 0 if each == \"No\" else -1 for each in data[item]]\n",
        "    \n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "q93GN1lmuNy1",
        "outputId": "94bd8dbd-4b41-4f57-c7f5-e55bc654c741"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>OnlineBackup</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>Contract</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>DSL</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>1</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>DSL</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>One year</td>\n",
              "      <td>0</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.50</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>DSL</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>1</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>45</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>DSL</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>One year</td>\n",
              "      <td>0</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>1</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   gender  SeniorCitizen  Partner  ...  MonthlyCharges  TotalCharges  Churn\n",
              "0       0              0        1  ...           29.85         29.85      0\n",
              "1       1              0        0  ...           56.95       1889.50      0\n",
              "2       1              0        0  ...           53.85        108.15      1\n",
              "3       1              0        0  ...           42.30       1840.75      0\n",
              "4       0              0        0  ...           70.70        151.65      1\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.countplot(x=\"Churn\",data=data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "4_NkhJzDuR_b",
        "outputId": "5f5ee6f3-8453-44a1-ee3c-072dfd19b390"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1fff64a510>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(data,vars = ['tenure','MonthlyCharges','TotalCharges'], hue=\"Churn\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 567
        },
        "id": "DrqobVW0uUno",
        "outputId": "1e1ab1bf-955b-4d25-8b90-f29ef7260662"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7f1ffe249550>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 582.375x540 with 12 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(style=\"whitegrid\")\n",
        "g1=sns.catplot(x=\"Contract\", y=\"Churn\", data=data,kind=\"bar\")\n",
        "g1.set_ylabels(\"Churn Probability\")\n",
        "\n",
        "g2=sns.catplot(x=\"InternetService\", y=\"Churn\", data=data,kind=\"bar\")\n",
        "g2.set_ylabels(\"Churn Probability\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "9WMP-G-yuXPd",
        "outputId": "fb0f9787-f622-47a3-b680-2b49e490177a"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f1ffe1fcd50>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.get_dummies(data=data)\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        },
        "id": "t9TpPHh_uaY-",
        "outputId": "f86c45f0-122c-41d2-864f-a7e8152691df"
      },
      "execution_count": 13,
      "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>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>OnlineBackup</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "      <th>InternetService_DSL</th>\n",
              "      <th>InternetService_Fiber optic</th>\n",
              "      <th>InternetService_No</th>\n",
              "      <th>Contract_Month-to-month</th>\n",
              "      <th>Contract_One year</th>\n",
              "      <th>Contract_Two year</th>\n",
              "      <th>PaymentMethod_Bank transfer (automatic)</th>\n",
              "      <th>PaymentMethod_Credit card (automatic)</th>\n",
              "      <th>PaymentMethod_Electronic check</th>\n",
              "      <th>PaymentMethod_Mailed check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.50</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>45</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   gender  ...  PaymentMethod_Mailed check\n",
              "0       0  ...                           0\n",
              "1       1  ...                           1\n",
              "2       1  ...                           1\n",
              "3       1  ...                           0\n",
              "4       0  ...                           0\n",
              "\n",
              "[5 rows x 27 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.corr()['Churn'].sort_values()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eAKwDt-Auc96",
        "outputId": "65ad5ed0-2bfc-4ff7-9c75-08b6505a2f57"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tenure                                    -0.354049\n",
              "Contract_Two year                         -0.301552\n",
              "InternetService_No                        -0.227578\n",
              "TotalCharges                              -0.199484\n",
              "Contract_One year                         -0.178225\n",
              "Dependents                                -0.163128\n",
              "Partner                                   -0.149982\n",
              "PaymentMethod_Credit card (automatic)     -0.134687\n",
              "InternetService_DSL                       -0.124141\n",
              "PaymentMethod_Bank transfer (automatic)   -0.118136\n",
              "PaymentMethod_Mailed check                -0.090773\n",
              "gender                                    -0.008545\n",
              "PhoneService                               0.011691\n",
              "OnlineSecurity                             0.023014\n",
              "TechSupport                                0.026744\n",
              "MultipleLines                              0.036148\n",
              "OnlineBackup                               0.073934\n",
              "DeviceProtection                           0.084402\n",
              "SeniorCitizen                              0.150541\n",
              "StreamingMovies                            0.162672\n",
              "StreamingTV                                0.164509\n",
              "PaperlessBilling                           0.191454\n",
              "MonthlyCharges                             0.192858\n",
              "PaymentMethod_Electronic check             0.301455\n",
              "InternetService_Fiber optic                0.307463\n",
              "Contract_Month-to-month                    0.404565\n",
              "Churn                                      1.000000\n",
              "Name: Churn, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#assign Class_att column as y attribute\n",
        "y = data.Churn.values\n",
        "\n",
        "#drop Class_att column, remain only numerical columns\n",
        "new_data = data.drop([\"Churn\"],axis=1)\n",
        "\n",
        "#Normalize values to fit between 0 and 1. \n",
        "x = (new_data-np.min(new_data))/(np.max(new_data)-np.min(new_data)).values\n"
      ],
      "metadata": {
        "id": "BL7XL6HoufHk"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Split data into Train and Test \n",
        "from sklearn.model_selection import train_test_split\n",
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2,random_state =1)"
      ],
      "metadata": {
        "id": "T7aAJkgIuh5i"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Apply Machine Learning Algorithms"
      ],
      "metadata": {
        "id": "VmCYN9Iyupow"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# %%KNN Classification\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "knn = KNeighborsClassifier(n_neighbors = 3) #set K neighbor as 3\n",
        "knn.fit(x_train,y_train)\n",
        "predicted_y = knn.predict(x_test)\n",
        "print(\"KNN accuracy according to K=3 is :\",knn.score(x_test,y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Hr0cU3iukyM",
        "outputId": "de4688d2-6683-4f6c-af0b-2ba68a02ea48"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "KNN accuracy according to K=3 is : 0.7469793887704336\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "score_array = []\n",
        "for each in range(1,25):\n",
        "    knn_loop = KNeighborsClassifier(n_neighbors = each) #set K neighbor as 3\n",
        "    knn_loop.fit(x_train,y_train)\n",
        "    score_array.append(knn_loop.score(x_test,y_test))\n",
        "    \n",
        "plt.plot(range(1,25),score_array)\n",
        "plt.xlabel(\"Range\")\n",
        "plt.ylabel(\"Score\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "5UjckO9luspC",
        "outputId": "a404bbcd-cc8e-405b-9540-ef1dbe922004"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "knn_model = KNeighborsClassifier(n_neighbors = 11) #set K neighbor as 11\n",
        "knn_model.fit(x_train,y_train)\n",
        "predicted_y = knn_model.predict(x_test)\n",
        "accuracy_knn = knn_model.score(x_test,y_test)\n",
        "print(\"KNN accuracy according to K=11 is :\",accuracy_knn)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5x-JDZhtuvAe",
        "outputId": "1ced1a73-2008-40e6-c409-ab5931424acb"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "KNN accuracy according to K=11 is : 0.7874911158493249\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# %%SVM Classification\n",
        "from sklearn.svm import SVC\n",
        "svc_model = SVC(random_state = 1)\n",
        "svc_model.fit(x_train,y_train)\n",
        "accuracy_svc = svc_model.score(x_test,y_test)\n",
        "print(\"SVM accuracy is :\",accuracy_svc)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cje8ITP0u1PA",
        "outputId": "3eec659f-6939-4550-d6cd-f67f54ab8e2c"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SVM accuracy is : 0.7967306325515281\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# %%Naive Bayes Classification\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "nb_model = GaussianNB()\n",
        "nb_model.fit(x_train,y_train)\n",
        "accuracy_nb = nb_model.score(x_test,y_test)\n",
        "print(\"Naive Bayes accuracy is :\",accuracy_nb)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Aa1kuN8Mu6ms",
        "outputId": "58e74fcb-a745-478e-fd0c-f5a1207bb657"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Naive Bayes accuracy is : 0.7213930348258707\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# %%Decision Tree Classification\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "dt_model = DecisionTreeClassifier()\n",
        "dt_model.fit(x_train,y_train)\n",
        "accuracy_dt = dt_model.score(x_test,y_test)\n",
        "print(\"Decision Tree accuracy is :\",accuracy_dt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zp9xlVY3vCIc",
        "outputId": "bc65dbe6-7bb5-4765-aff9-77740069db1a"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Decision Tree accuracy is : 0.7171286425017769\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# %%Random Forest Classification\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "rf_model_initial = RandomForestClassifier(n_estimators = 5, random_state = 1)\n",
        "rf_model_initial.fit(x_train,y_train)\n",
        "print(\"Random Forest accuracy for 5 trees is :\",rf_model_initial.score(x_test,y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IfHU3gLbvCeW",
        "outputId": "9251c3bf-f8a2-4305-c13c-b0f1328be423"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Random Forest accuracy for 5 trees is : 0.7668798862828714\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "score_array = []\n",
        "for each in range(1,50):\n",
        "    rf_loop = RandomForestClassifier(n_estimators = each, random_state = 1) #set K neighbor as 3\n",
        "    rf_loop.fit(x_train,y_train)\n",
        "    score_array.append(rf_loop.score(x_test,y_test))\n",
        "    \n",
        "plt.plot(range(1,50),score_array)\n",
        "plt.xlabel(\"Range\")\n",
        "plt.ylabel(\"Score\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "12b-y5lGvEed",
        "outputId": "59640c53-e593-46b1-ba0f-ecdf61d53966"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rf_model = RandomForestClassifier(n_estimators = 33, random_state = 1) #set tree number as 33\n",
        "rf_model.fit(x_train,y_train)\n",
        "accuracy_rf = rf_model.score(x_test,y_test)\n",
        "print(\"Random Forest accuracy for 33 trees is :\",accuracy_rf)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p4xnl7GevF6q",
        "outputId": "028d40f1-d0c7-48c1-d804-c92fde7eb2fd"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Random Forest accuracy for 33 trees is : 0.7938877043354655\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# %%Confusion Matrix libraries\n",
        "from sklearn.metrics import recall_score, confusion_matrix, precision_score, f1_score, accuracy_score, classification_report\n",
        "\n",
        "#for Logistic Regression\n",
        "cm_lr = confusion_matrix(y_test,lr_model.predict(x_test))\n",
        "\n",
        "# %% confusion matrix visualization\n",
        "import seaborn as sns\n",
        "f, ax = plt.subplots(figsize = (5,5))\n",
        "sns.heatmap(cm_lr, annot = True, linewidths = 0.5, color = \"red\", fmt = \".0f\", ax=ax)\n",
        "plt.xlabel(\"y_predicted\")\n",
        "plt.ylabel(\"y_true\")\n",
        "plt.title(\"Confusion Matrix of Logistic Regression\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "0Sy7yQeFvJbQ",
        "outputId": "cdb2c3a4-cc7d-4af0-88ef-947f5b00bcb3"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the function that prints all scores\n",
        "def print_scores(headline, y_true, y_pred):\n",
        "    print(headline)\n",
        "    acc_score = accuracy_score(y_true, y_pred)\n",
        "    print(\"accuracy: \",acc_score)\n",
        "    pre_score = precision_score(y_true, y_pred)\n",
        "    print(\"precision: \",pre_score)\n",
        "    rec_score = recall_score(y_true, y_pred)                            \n",
        "    print(\"recall: \",rec_score)\n",
        "    f_score = f1_score(y_true, y_pred, average='weighted')\n",
        "    print(\"f1_score: \",f_score)"
      ],
      "metadata": {
        "id": "c0Je-03LvMIl"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "report = classification_report(y_test, lr_model.predict(x_test))\n",
        "print(report)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-h8S_C1gvPdT",
        "outputId": "eac2e2c1-1957-4e7e-d15b-8c6281abe75b"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.85      0.89      0.87      1041\n",
            "           1       0.63      0.54      0.58       366\n",
            "\n",
            "    accuracy                           0.80      1407\n",
            "   macro avg       0.74      0.71      0.72      1407\n",
            "weighted avg       0.79      0.80      0.79      1407\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print_scores(\"Logistic Regression;\",y_test, lr_model.predict(x_test))\n",
        "print_scores(\"SVC;\",y_test, svc_model.predict(x_test))\n",
        "print_scores(\"KNN;\",y_test, knn_model.predict(x_test))\n",
        "print_scores(\"Naive Bayes;\",y_test, nb_model.predict(x_test))\n",
        "print_scores(\"Decision Tree;\",y_test, dt_model.predict(x_test))\n",
        "print_scores(\"Random Forest;\",y_test, rf_model.predict(x_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fkc6dlhCvRfK",
        "outputId": "b0237ff2-b38d-4707-d70e-db869fb295b3"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Logistic Regression;\n",
            "accuracy:  0.798862828713575\n",
            "precision:  0.6334405144694534\n",
            "recall:  0.5382513661202186\n",
            "f1_score:  0.7932808947173186\n",
            "SVC;\n",
            "accuracy:  0.7967306325515281\n",
            "precision:  0.6351351351351351\n",
            "recall:  0.5136612021857924\n",
            "f1_score:  0.7892897235731324\n",
            "KNN;\n",
            "accuracy:  0.7874911158493249\n",
            "precision:  0.6006006006006006\n",
            "recall:  0.546448087431694\n",
            "f1_score:  0.7841326824444294\n",
            "Naive Bayes;\n",
            "accuracy:  0.7213930348258707\n",
            "precision:  0.4796875\n",
            "recall:  0.8387978142076503\n",
            "f1_score:  0.738223282153598\n",
            "Decision Tree;\n",
            "accuracy:  0.7171286425017769\n",
            "precision:  0.4601990049751244\n",
            "recall:  0.505464480874317\n",
            "f1_score:  0.7212698356249753\n",
            "Random Forest;\n",
            "accuracy:  0.7938877043354655\n",
            "precision:  0.6233766233766234\n",
            "recall:  0.5245901639344263\n",
            "f1_score:  0.7878124816879418\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "4kq1tjTlvTef"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}