{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
   "name": "Bank personal loan modelling.ipynb",
   "provenance": [],
   "collapsed_sections": [],
   "toc_visible": true
},
"kernelspec": {
   "name": "python3",
   "display_name": "Python 3"
}
},
"cells": [
{
   "cell_type": "code",
   "metadata": {
   "id": "Bo2_kTJbduEA",
   "colab_type": "code",
   "colab": {}
   },
   "source": [
   "import pandas as pd\n",
   "import numpy as np\n",
   "from itertools import combinations\n",
   "from sklearn.linear_model import LogisticRegression\n",
   "from sklearn.model_selection import train_test_split\n",
   "from sklearn.metrics import classification_report\n",
   "from sklearn.metrics import roc_curve, auc\n",
   "import matplotlib.pyplot as plt"
   ],
   "execution_count": 35,
   "outputs": []
},
{
   "cell_type": "code",
   "metadata": {
   "id": "pmTXcANsejx3",
   "colab_type": "code",
   "colab": {}
   },
   "source": [
   "df = pd.read_csv('Bank_Personal_Loan_Modelling.csv')"
   ],
   "execution_count": 6,
   "outputs": []
},
{
   "cell_type": "code",
   "metadata": {
   "id": "x2b0rf7teo8b",
   "colab_type": "code",
   "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 198
   },
   "outputId": "c74d3508-e4c2-4390-c188-ec082057e389"
   },
   "source": [
   "df.head()"
   ],
   "execution_count": 7,
   "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>ID</th>\n",
         "    <th>Age</th>\n",
         "    <th>Experience</th>\n",
         "    <th>Income</th>\n",
         "    <th>ZIP Code</th>\n",
         "    <th>Family</th>\n",
         "    <th>CCAvg</th>\n",
         "    <th>Education</th>\n",
         "    <th>Mortgage</th>\n",
         "    <th>Personal Loan</th>\n",
         "    <th>Securities Account</th>\n",
         "    <th>CD Account</th>\n",
         "    <th>Online</th>\n",
         "    <th>CreditCard</th>\n",
         " </tr>\n",
         " </thead>\n",
         " <tbody>\n",
         " <tr>\n",
         "    <th>0</th>\n",
         "    <td>1</td>\n",
         "    <td>25</td>\n",
         "    <td>1</td>\n",
         "    <td>49</td>\n",
         "    <td>91107</td>\n",
         "    <td>4</td>\n",
         "    <td>1.6</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",
         " </tr>\n",
         " <tr>\n",
         "    <th>1</th>\n",
         "    <td>2</td>\n",
         "    <td>45</td>\n",
         "    <td>19</td>\n",
         "    <td>34</td>\n",
         "    <td>90089</td>\n",
         "    <td>3</td>\n",
         "    <td>1.5</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",
         " </tr>\n",
         " <tr>\n",
         "    <th>2</th>\n",
         "    <td>3</td>\n",
         "    <td>39</td>\n",
         "    <td>15</td>\n",
         "    <td>11</td>\n",
         "    <td>94720</td>\n",
         "    <td>1</td>\n",
         "    <td>1.0</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>0</td>\n",
         " </tr>\n",
         " <tr>\n",
         "    <th>3</th>\n",
         "    <td>4</td>\n",
         "    <td>35</td>\n",
         "    <td>9</td>\n",
         "    <td>100</td>\n",
         "    <td>94112</td>\n",
         "    <td>1</td>\n",
         "    <td>2.7</td>\n",
         "    <td>2</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",
         " </tr>\n",
         " <tr>\n",
         "    <th>4</th>\n",
         "    <td>5</td>\n",
         "    <td>35</td>\n",
         "    <td>8</td>\n",
         "    <td>45</td>\n",
         "    <td>91330</td>\n",
         "    <td>4</td>\n",
         "    <td>1.0</td>\n",
         "    <td>2</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",
         " </tbody>\n",
         "</table>\n",
         "</div>"
         ],
         "text/plain": [
         " ID Age Experience ... CD Account Online CreditCard\n",
         "0 1 25       1 ...       0    0       0\n",
         "1 2 45       19 ...       0    0       0\n",
         "2 3 39       15 ...       0    0       0\n",
         "3 4 35       9 ...       0    0       0\n",
         "4 5 35       8 ...       0    0       1\n",
         "\n",
         "[5 rows x 14 columns]"
         ]
      },
      "metadata": {
         "tags": []
      },
      "execution_count": 7
   }
   ]
},
{
   "cell_type": "code",
   "metadata": {
   "id": "9CUBhJZBesqk",
   "colab_type": "code",
   "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 325
   },
   "outputId": "72423f0f-b429-4f79-be93-c79fa93e2173"
   },

Download Calendar.py and use_calendar.py. Complete all functions...