Real Estate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bd20b9f4",
   "metadata": {},
   "source": [
    "## Real Estate Price Predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2b5149c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "28d2ec6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6edda30",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.575</td>\n",
       "      <td>4.98</td>\n",
       "      <td>15.3</td>\n",
       "      <td>504000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.421</td>\n",
       "      <td>9.14</td>\n",
       "      <td>17.8</td>\n",
       "      <td>453600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.185</td>\n",
       "      <td>4.03</td>\n",
       "      <td>17.8</td>\n",
       "      <td>728700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.998</td>\n",
       "      <td>2.94</td>\n",
       "      <td>18.7</td>\n",
       "      <td>701400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.147</td>\n",
       "      <td>5.33</td>\n",
       "      <td>18.7</td>\n",
       "      <td>760200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "      RM  LSTAT  PTRATIO      MEDV\n",
       "0  6.575   4.98     15.3  504000.0\n",
       "1  6.421   9.14     17.8  453600.0\n",
       "2  7.185   4.03     17.8  728700.0\n",
       "3  6.998   2.94     18.7  701400.0\n",
       "4  7.147   5.33     18.7  760200.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.575</td>\n",
       "      <td>4.98</td>\n",
       "      <td>15.3</td>\n",
       "      <td>504000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.421</td>\n",
       "      <td>9.14</td>\n",
       "      <td>17.8</td>\n",
       "      <td>453600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.185</td>\n",
       "      <td>4.03</td>\n",
       "      <td>17.8</td>\n",
       "      <td>728700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.998</td>\n",
       "      <td>2.94</td>\n",
       "      <td>18.7</td>\n",
       "      <td>701400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.147</td>\n",
       "      <td>5.33</td>\n",
       "      <td>18.7</td>\n",
       "      <td>760200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "      RM  LSTAT  PTRATIO      MEDV\n",
       "0  6.575   4.98     15.3  504000.0\n",
       "1  6.421   9.14     17.8  453600.0\n",
       "2  7.185   4.03     17.8  728700.0\n",
       "3  6.998   2.94     18.7  701400.0\n",
       "4  7.147   5.33     18.7  760200.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f980326",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 489 entries, 0 to 488\n",
      "Data columns (total 4 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   RM       489 non-null    float64\n",
      " 1   LSTAT    489 non-null    float64\n",
      " 2   PTRATIO  489 non-null    float64\n",
      " 3   MEDV     489 non-null    float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 15.4 KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 489 entries, 0 to 488\n",
      "Data columns (total 4 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   RM       489 non-null    float64\n",
      " 1   LSTAT    489 non-null    float64\n",
      " 2   PTRATIO  489 non-null    float64\n",
      " 3   MEDV     489 non-null    float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 15.4 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "618fdf52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      4.98\n",
       "1      9.14\n",
       "2      4.03\n",
       "3      2.94\n",
       "4      5.33\n",
       "       ... \n",
       "484    9.67\n",
       "485    9.08\n",
       "486    5.64\n",
       "487    6.48\n",
       "488    7.88\n",
       "Name: LSTAT, Length: 489, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "text/plain": [
       "0      4.98\n",
       "1      9.14\n",
       "2      4.03\n",
       "3      2.94\n",
       "4      5.33\n",
       "       ... \n",
       "484    9.67\n",
       "485    9.08\n",
       "486    5.64\n",
       "487    6.48\n",
       "488    7.88\n",
       "Name: LSTAT, Length: 489, dtype: float64"
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df['LSTAT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "60a1a209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.05     3\n",
       "7.79     3\n",
       "6.36     3\n",
       "14.10    3\n",
       "18.13    3\n",
       "        ..\n",
       "15.12    1\n",
       "15.79    1\n",
       "12.12    1\n",
       "13.28    1\n",
       "7.88     1\n",
       "Name: LSTAT, Length: 442, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "8.05     3\n",
       "7.79     3\n",
       "6.36     3\n",
       "14.10    3\n",
       "18.13    3\n",
       "        ..\n",
       "15.12    1\n",
       "15.79    1\n",
       "12.12    1\n",
       "13.28    1\n",
       "7.88     1\n",
       "Name: LSTAT, Length: 442, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df['LSTAT'].value_counts()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eac0e382",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.417    3\n",
       "6.167    3\n",
       "6.127    3\n",
       "6.229    3\n",
       "6.405    3\n",
       "        ..\n",
       "5.572    1\n",
       "5.880    1\n",
       "5.875    1\n",
       "6.402    1\n",
       "6.976    1\n",
       "Name: RM, Length: 430, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "text/plain": [
       "6.417    3\n",
       "6.167    3\n",
       "6.127    3\n",
       "6.229    3\n",
       "6.405    3\n",
       "        ..\n",
       "5.572    1\n",
       "5.880    1\n",
       "5.875    1\n",
       "6.402    1\n",
       "6.976    1\n",
       "Name: RM, Length: 430, dtype: int64"
      ]
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     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df['RM'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6c9acf12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.2    134\n",
       "14.7     29\n",
       "21.0     27\n",
       "17.8     22\n",
       "19.2     19\n",
       "19.1     17\n",
       "17.4     17\n",
       "18.6     17\n",
       "18.4     16\n",
       "16.6     16\n",
       "21.2     15\n",
       "15.2     13\n",
       "17.9     11\n",
       "20.9     11\n",
       "13.0     10\n",
       "18.7      9\n",
       "19.6      8\n",
       "19.7      8\n",
       "17.6      7\n",
       "16.4      6\n",
       "16.9      5\n",
       "16.0      5\n",
       "20.1      5\n",
       "18.0      5\n",
       "16.1      5\n",
       "19.0      4\n",
       "18.3      4\n",
       "16.8      4\n",
       "18.2      4\n",
       "14.9      4\n",
       "18.5      4\n",
       "17.0      4\n",
       "18.9      3\n",
       "14.8      3\n",
       "12.6      3\n",
       "15.3      3\n",
       "15.9      2\n",
       "15.6      2\n",
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       "22.0      2\n",
       "15.1      1\n",
       "17.3      1\n",
       "21.1      1\n",
       "15.5      1\n",
       "Name: PTRATIO, dtype: int64"
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     "execution_count": 8,
     "metadata": {},
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     "data": {
      "text/plain": [
       "20.2    134\n",
       "14.7     29\n",
       "21.0     27\n",
       "17.8     22\n",
       "19.2     19\n",
       "19.1     17\n",
       "17.4     17\n",
       "18.6     17\n",
       "18.4     16\n",
       "16.6     16\n",
       "21.2     15\n",
       "15.2     13\n",
       "17.9     11\n",
       "20.9     11\n",
       "13.0     10\n",
       "18.7      9\n",
       "19.6      8\n",
       "19.7      8\n",
       "17.6      7\n",
       "16.4      6\n",
       "16.9      5\n",
       "16.0      5\n",
       "20.1      5\n",
       "18.0      5\n",
       "16.1      5\n",
       "19.0      4\n",
       "18.3      4\n",
       "16.8      4\n",
       "18.2      4\n",
       "14.9      4\n",
       "18.5      4\n",
       "17.0      4\n",
       "18.9      3\n",
       "14.8      3\n",
       "12.6      3\n",
       "15.3      3\n",
       "15.9      2\n",
       "15.6      2\n",
       "18.8      2\n",
       "22.0      2\n",
       "15.1      1\n",
       "17.3      1\n",
       "21.1      1\n",
       "15.5      1\n",
       "Name: PTRATIO, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['PTRATIO'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "44290b00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "525000.0    8\n",
       "485100.0    7\n",
       "462000.0    7\n",
       "455700.0    7\n",
       "407400.0    6\n",
       "           ..\n",
       "690900.0    1\n",
       "726600.0    1\n",
       "636300.0    1\n",
       "699300.0    1\n",
       "170100.0    1\n",
       "Name: MEDV, Length: 228, dtype: int64"
      ]
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
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       "525000.0    8\n",
       "485100.0    7\n",
       "462000.0    7\n",
       "455700.0    7\n",
       "407400.0    6\n",
       "           ..\n",
       "690900.0    1\n",
       "726600.0    1\n",
       "636300.0    1\n",
       "699300.0    1\n",
       "170100.0    1\n",
       "Name: MEDV, Length: 228, dtype: int64"
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df['MEDV'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3ca421f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>489.000000</td>\n",
       "      <td>489.000000</td>\n",
       "      <td>489.000000</td>\n",
       "      <td>4.890000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.240288</td>\n",
       "      <td>12.939632</td>\n",
       "      <td>18.516564</td>\n",
       "      <td>4.543429e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.643650</td>\n",
       "      <td>7.081990</td>\n",
       "      <td>2.111268</td>\n",
       "      <td>1.653403e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>1.050000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.880000</td>\n",
       "      <td>7.370000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>3.507000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.185000</td>\n",
       "      <td>11.690000</td>\n",
       "      <td>19.100000</td>\n",
       "      <td>4.389000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.575000</td>\n",
       "      <td>17.120000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>5.187000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1.024800e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO          MEDV\n",
       "count  489.000000  489.000000  489.000000  4.890000e+02\n",
       "mean     6.240288   12.939632   18.516564  4.543429e+05\n",
       "std      0.643650    7.081990    2.111268  1.653403e+05\n",
       "min      3.561000    1.980000   12.600000  1.050000e+05\n",
       "25%      5.880000    7.370000   17.400000  3.507000e+05\n",
       "50%      6.185000   11.690000   19.100000  4.389000e+05\n",
       "75%      6.575000   17.120000   20.200000  5.187000e+05\n",
       "max      8.398000   37.970000   22.000000  1.024800e+06"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>489.000000</td>\n",
       "      <td>489.000000</td>\n",
       "      <td>489.000000</td>\n",
       "      <td>4.890000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.240288</td>\n",
       "      <td>12.939632</td>\n",
       "      <td>18.516564</td>\n",
       "      <td>4.543429e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.643650</td>\n",
       "      <td>7.081990</td>\n",
       "      <td>2.111268</td>\n",
       "      <td>1.653403e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>1.050000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.880000</td>\n",
       "      <td>7.370000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>3.507000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.185000</td>\n",
       "      <td>11.690000</td>\n",
       "      <td>19.100000</td>\n",
       "      <td>4.389000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.575000</td>\n",
       "      <td>17.120000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>5.187000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1.024800e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO          MEDV\n",
       "count  489.000000  489.000000  489.000000  4.890000e+02\n",
       "mean     6.240288   12.939632   18.516564  4.543429e+05\n",
       "std      0.643650    7.081990    2.111268  1.653403e+05\n",
       "min      3.561000    1.980000   12.600000  1.050000e+05\n",
       "25%      5.880000    7.370000   17.400000  3.507000e+05\n",
       "50%      6.185000   11.690000   19.100000  4.389000e+05\n",
       "75%      6.575000   17.120000   20.200000  5.187000e+05\n",
       "max      8.398000   37.970000   22.000000  1.024800e+06"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ea0e7bec",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline \n",
    "#this will tell the system that we want to see our graphs here itself"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1d5e8ade",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'RM'}>,\n",
       "        <Axes: title={'center': 'LSTAT'}>],\n",
       "       [<Axes: title={'center': 'PTRATIO'}>,\n",
       "        <Axes: title={'center': 'MEDV'}>]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'RM'}>,\n",
       "        <Axes: title={'center': 'LSTAT'}>],\n",
       "       [<Axes: title={'center': 'PTRATIO'}>,\n",
       "        <Axes: title={'center': 'MEDV'}>]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mmfinf/qnGDZsWKFLoYWceOKJ8dprr9X9PPXUU4UuiTz74x//GKeddlqUlJTEY489Fv/1X/8V3/72t+PQQw8tdGnk2TPPPFPv9V5VVRUREX/1V39V4MrIt1tuuSUWLFgQ3//+9+N3v/td3HLLLXHrrbfGP/7jPxa6NAAa4TP6wdm5c2ecfPLJMX/+/Ebn33rrrXH77bfHHXfcEU8//XQccsghMX78+Ni9e3cLV9p2vF9PIyLOPvvseuP27rvvbsEK256VK1fGtGnTYs2aNVFVVRWZTCbGjRsXO3furFvmmmuuiUceeSSWLFkSK1eujM2bN8cFF1xQwKpbtwPpaUTE5ZdfXm+s3nrrrQWquPUbMGBAzJs3L9auXRvPPvtsnHnmmXHuuefGf/7nf0aEMdoc79fTCGO0pRQXugBajx07dsTFF18c//zP/xw333xzocuhhRQXF0d5eXmhy6AF3XLLLTFw4MBYuHBh3bQhQ4YUsCJaSp8+feo9njdvXhx55JHx8Y9/vEAV0VJ+9atfxbnnnhsTJ06MiHevHrr77rvj17/+dYErA6AxPqMfnAkTJsSECRManZfNZuO2226L6667Ls4999yIiPjxj38c/fr1i4ceeiimTJnSkqW2Gfvr6V6lpaXGbRM8/vjj9R4vWrQo+vbtG2vXro3TTz89tm/fHnfeeWdUVlbGmWeeGRERCxcujOOPPz7WrFkTp556aiHKbtXer6d7de3a1Vg9QJMmTar3+Jvf/GYsWLAg1qxZEwMGDDBGm2F/PT3xxBMjwhhtKa4Yoc60adNi4sSJMWbMmEKXQgt68cUXo6KiIo444oi4+OKL4+WXXy50SeTZT3/60xgxYkT81V/9VfTt2zc+9KEPxT//8z8Xuixa2DvvvBN33XVXfP7zn4+ioqJCl0OefeQjH4knnngifv/730dExH/8x3/EU0899b7/wQFAYfiMnj8vvfRSbNmypd55b48ePeKUU06J1atXF7Cytu/JJ5+Mvn37xrHHHhtf/OIX48033yx0SW3K9u3bIyKiV69eERGxdu3ayGQy9cbqcccdF4MGDTJWD9B7e7rX4sWL47DDDouhQ4fGrFmzYteuXYUor83Zs2dP3HPPPbFz584YNWqUMZoD7+3pXsZoy3DFCBERcc8998Rzzz0XzzzzTKFLoQWdcsopsWjRojj22GPjtddeizlz5sTHPvaxeOGFF6J79+6FLo88+f/+v/8vFixYEDNmzIivfe1r8cwzz8Tf/u3fRqdOneKSSy4pdHm0kIceeii2bdsWl156aaFLoQXMnDkzqqur47jjjouOHTvGnj174pvf/GZcfPHFhS4NgPfwGT2/tmzZEhER/fr1qze9X79+dfNourPPPjsuuOCCGDJkSGzcuDG+9rWvxYQJE2L16tXRsWPHQpfX6tXW1sbVV18dp512WgwdOjQi3h2rnTp1ip49e9Zb1lg9MI31NCJi6tSpcfjhh0dFRUU8//zzce2118b69evjgQceKGC1rdtvf/vbGDVqVOzevTu6desWDz74YJxwwgmxbt06Y7SZ9tXTCGO0JQlGiFdeeSW+9KUvRVVVVXTu3LnQ5dCC/u9vCg8bNixOOeWUOPzww+Pee++Nyy67rICVkU+1tbUxYsSI+Na3vhURER/60IfihRdeiDvuuEMwkpA777wzJkyYEBUVFYUuhRZw7733xuLFi6OysjJOPPHEWLduXVx99dVRUVHhdQ/QyviMTlv0f29BdtJJJ8WwYcPiyCOPjCeffDLOOuusAlbWNkybNi1eeOEF3yeUQ/vq6RVXXFH395NOOin69+8fZ511VmzcuDGOPPLIli6zTTj22GNj3bp1sX379rjvvvvikksuiZUrVxa6rDZtXz094YQTjNEW5FZaxNq1a+P111+Pv/iLv4ji4uIoLi6OlStXxu233x7FxcWxZ8+eQpdIC+nZs2ccc8wxsWHDhkKXQh7179+/7jcR9jr++OPdoiEhf/jDH+JnP/tZfOELXyh0KbSQr3zlKzFz5syYMmVKnHTSSfGZz3wmrrnmmpg7d26hSwPgffiMnlt779m+devWetO3bt3qfu45dMQRR8Rhhx1m3B6A6dOnx6OPPhq/+MUvYsCAAXXTy8vL45133olt27bVW95YfX/76mljTjnllIgIY3U/OnXqFEcddVQMHz485s6dGyeffHJ873vfM0YPwr562hhjNH8EI8RZZ50Vv/3tb2PdunV1PyNGjIiLL7441q1b57LXhOzYsSM2btwY/fv3L3Qp5NFpp50W69evrzft97//fRx++OEFqoiWtnDhwujbt2/dF3HT/u3atSs6dKj/sa9jx45RW1tboIoAOFA+o+fWkCFDory8PJ544om6adXV1fH000/Xu787B+fVV1+NN99807jdj2w2G9OnT48HH3wwfv7zn8eQIUPqzR8+fHiUlJTUG6vr16+Pl19+2Vjdh/fraWPWrVsXEWGsNkFtbW3U1NQYozm0t6eNMUbzx620iO7du9e732JExCGHHBK9e/duMJ325ctf/nJMmjQpDj/88Ni8eXN84xvfiI4dO8ZFF11U6NLIo2uuuSY+8pGPxLe+9a345Cc/Gb/+9a/jhz/8Yfzwhz8sdGm0gNra2li4cGFccsklUVzsY0AqJk2aFN/85jdj0KBBceKJJ8ZvfvOb+M53vhOf//znC10aAO/hM/rB27FjR73frH3ppZdi3bp10atXrxg0aFBcffXVcfPNN8fRRx8dQ4YMieuvvz4qKirivPPOK1zRrdz+etqrV6+YM2dOTJ48OcrLy2Pjxo3x1a9+NY466qgYP358Aatu3aZNmxaVlZXx8MMPR/fu3eu+k6FHjx7RpUuX6NGjR1x22WUxY8aM6NWrV5SVlcVVV10Vo0aNilNPPbXA1bdO79fTjRs3RmVlZZxzzjnRu3fveP755+Oaa66J008/PYYNG1bg6lunWbNmxYQJE2LQoEHx9ttvR2VlZTz55JOxfPlyY7SZ9tdTY7SFZaERH//4x7Nf+tKXCl0GefapT30q279//2ynTp2yH/jAB7Kf+tSnshs2bCh0WbSARx55JDt06NBsaWlp9rjjjsv+8Ic/LHRJtJDly5dnIyK7fv36QpdCC6qurs5+6Utfyg4aNCjbuXPn7BFHHJH9+te/nq2pqSl0aQC8h8/oB+8Xv/hFNiIa/FxyySXZbDabra2tzV5//fXZfv36ZUtLS7NnnXWWz0bvY3893bVrV3bcuHHZPn36ZEtKSrKHH3549vLLL89u2bKl0GW3ao31MyKyCxcurFvmT3/6U/Zv/uZvsoceemi2a9eu2fPPPz/72muvFa7oVu79evryyy9nTz/99GyvXr2ypaWl2aOOOir7la98Jbt9+/bCFt6Kff7zn88efvjh2U6dOmX79OmTPeuss7IrVqyom2+MNt3+emqMtqyibDabbcEcBgAAAAAAoGB8xwgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQgAAAAAAJAMwQhAC1u0aFEUFRXV/XTu3DmOOeaYmD59emzdujUGDx5cb/6+fhYtWhQR0WB6WVlZfPzjH4+lS5fus4Zt27ZF586do6ioKH73u9/VTZ89e/YBbXv06NEREXHppZdGt27dGqw/m83Gv/3bv8Xpp58ePXv2jK5du8ZJJ50UN954Y+zcuTOn/QQAAGhp//e87qmnnmowP5vNxsCBA6OoqCg+8YlP1E3f33nWlVdeWbfcpZdeWm9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      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for plotting histogram\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "df.hist(bins=50, figsize = (20,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe1bc4b7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e23cc36d",
   "metadata": {},
   "source": [
    "## Splitting the training and testing data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "25fc1b46",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.iloc[:,:-1]\n",
    "y = df.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "172f2359",
   "metadata": {},
   "outputs": [],
   "source": [
    "#we defined thus function for learning\n",
    "\n",
    "import numpy as np\n",
    "def split_train_test(data, test_ratio):\n",
    "    np.random.seed(42)  #if we dont seed the random value generator for shuffled, in long run the machine will see the whole data and may overfit it which we dont want\n",
    "    #now we will get the same set of values every time we try printing the train_test_split\n",
    "    shuffled = np.random.permutation(len(data))\n",
    "    test_set_size = int(len(data) * test_ratio)\n",
    "    test_indices = shuffled[:test_set_size]\n",
    "    train_indices = shuffled[test_set_size:]\n",
    "    return data.iloc[train_indices], data.iloc[test_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0e9d863e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_set, test_set = split_train_test(df, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "78abd340",
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(f\"Rows in training set: {len(train_set)}\")   #the f\"\" helps use place variable in the print statement in {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "19b055cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(f\"Rows in testing set: {len(test_set)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "99f48a08",
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "94ebe69a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#test_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "01c91c01",
   "metadata": {},
   "outputs": [],
   "source": [
    "#We can also split the training and testing data like this without creating any function\n",
    "from sklearn.model_selection import train_test_split\n",
    "train_set, test_set = train_test_split(df, test_size=0.2, random_state=42) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "98e9f5b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows in training set: 391\n",
      "Rows in testing set: 98\n",
      "Rows in training set: 391\n",
      "Rows in testing set: 98\n"
     ]
    }
   ],
   "source": [
    "print(f\"Rows in training set: {len(train_set)}\")\n",
    "print(f\"Rows in testing set: {len(test_set)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f5d94042",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nfrom sklearn.model_selection import StratifiedShuffleSplit\\nsplit = StratifiedShuffleSplit(n_splits = 1, test_size = 0.2,\\n                               train_size = 0.8, random_state = 42)\\nfor train_index, test_index in split.split(df,df['LSTAT']):\\n    strat_train_set = df.iloc[train_index]\\n    strat_test_set = df.iloc[test_index]\\n\""
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "\"\\nfrom sklearn.model_selection import StratifiedShuffleSplit\\nsplit = StratifiedShuffleSplit(n_splits = 1, test_size = 0.2,\\n                               train_size = 0.8, random_state = 42)\\nfor train_index, test_index in split.split(df,df['LSTAT']):\\n    strat_train_set = df.iloc[train_index]\\n    strat_test_set = df.iloc[test_index]\\n\""
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We do the stratified shuffle split for mostly the most important feature\n",
    "#It helps us distribute the data in the training set properly so that there isnt same kind of data in the whole training set\n",
    "#Else it can give wrong predictions as it may overfit the data\n",
    "#Specifically when we have 0s and 1s in set\n",
    "\"\"\"\n",
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "split = StratifiedShuffleSplit(n_splits = 1, test_size = 0.2,\n",
    "                               train_size = 0.8, random_state = 42)\n",
    "for train_index, test_index in split.split(df,df['LSTAT']):\n",
    "    strat_train_set = df.iloc[train_index]\n",
    "    strat_test_set = df.iloc[test_index]\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d413e98",
   "metadata": {},
   "source": [
    "## Looking for Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5c58525c",
   "metadata": {},
   "outputs": [
    {
     "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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.612033</td>\n",
       "      <td>-0.304559</td>\n",
       "      <td>0.697209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTAT</th>\n",
       "      <td>-0.612033</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.360445</td>\n",
       "      <td>-0.760670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTRATIO</th>\n",
       "      <td>-0.304559</td>\n",
       "      <td>0.360445</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.519034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEDV</th>\n",
       "      <td>0.697209</td>\n",
       "      <td>-0.760670</td>\n",
       "      <td>-0.519034</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM     LSTAT   PTRATIO      MEDV\n",
       "RM       1.000000 -0.612033 -0.304559  0.697209\n",
       "LSTAT   -0.612033  1.000000  0.360445 -0.760670\n",
       "PTRATIO -0.304559  0.360445  1.000000 -0.519034\n",
       "MEDV     0.697209 -0.760670 -0.519034  1.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.612033</td>\n",
       "      <td>-0.304559</td>\n",
       "      <td>0.697209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTAT</th>\n",
       "      <td>-0.612033</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.360445</td>\n",
       "      <td>-0.760670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTRATIO</th>\n",
       "      <td>-0.304559</td>\n",
       "      <td>0.360445</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.519034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEDV</th>\n",
       "      <td>0.697209</td>\n",
       "      <td>-0.760670</td>\n",
       "      <td>-0.519034</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM     LSTAT   PTRATIO      MEDV\n",
       "RM       1.000000 -0.612033 -0.304559  0.697209\n",
       "LSTAT   -0.612033  1.000000  0.360445 -0.760670\n",
       "PTRATIO -0.304559  0.360445  1.000000 -0.519034\n",
       "MEDV     0.697209 -0.760670 -0.519034  1.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = df.corr()\n",
    "corr_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "23593972",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.697209\n",
       "PTRATIO   -0.519034\n",
       "LSTAT     -0.760670\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.697209\n",
       "PTRATIO   -0.519034\n",
       "LSTAT     -0.760670\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#we find the correlation wrt to MEDV(price) to check if it is directly or inversely proportional to the features\n",
    "corr_matrix['MEDV'].sort_values(ascending=False)\n",
    "#1: strong positive correlation\n",
    "#0.69..: directly proportional and increases with RM increasing\n",
    "#0.34..: not that strong direct proportionality\n",
    "#-0.519..: negative correlation or inversely proportional\n",
    "#-0.760..: negtaive correlation and inversly proportional\n",
    "#-1: strong negative correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b791cc37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='RM', ylabel='RM'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='RM'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='RM'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='RM'>],\n",
       "       [<Axes: xlabel='RM', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='LSTAT'>],\n",
       "       [<Axes: xlabel='RM', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='PTRATIO'>],\n",
       "       [<Axes: xlabel='RM', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='MEDV'>]], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='RM', ylabel='RM'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='RM'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='RM'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='RM'>],\n",
       "       [<Axes: xlabel='RM', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='LSTAT'>],\n",
       "       [<Axes: xlabel='RM', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='PTRATIO'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='PTRATIO'>],\n",
       "       [<Axes: xlabel='RM', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='PTRATIO', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='MEDV', ylabel='MEDV'>]], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "#in bigger dataframes, we only plot those graphs where the correlation is either strongly positive or strongly negative\n",
    "#Write this way when you have many features and you are plotting for selected ones\n",
    "\"\"\"\n",
    "attributes = ['MEDV','RM','PTRATIO','LSTAT']\n",
    "scatter_matrix(df[attributes], figsize = (12,8))\n",
    "\"\"\"\n",
    "scatter_matrix(df, figsize = (12,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "23ac3df6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for MEDV vs MEDV it plots a histogram instead of straight lines\n",
    "#for RM vs MEDV you can see the strong positive correlation with a straight line with a positive slope\n",
    "#for LSAT vs MEDV you can the strong negative correlation with straight line with a negative slope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ca6adbaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='RM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='RM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind = \"scatter\", x=\"RM\", y=\"MEDV\", alpha=0.8)\n",
    "#alpha refers to the darkness of the colours on the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9a26613a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#You can also try different attribute combinations to get better positive or negative correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bb5ea52c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = train_set.drop(\"MEDV\",axis=1)\n",
    "df_label = train_set[\"MEDV\"].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5a87abe",
   "metadata": {},
   "source": [
    "## Missing attributes\n",
    "#### Taking care of missing attributes\n",
    "1. Get rid of the missing attributes\n",
    "2. Get rid of the whole attribute\n",
    "3. Set the value of the missing attributes to 0, mean or median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8eaa4c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#1. df.dropna(subset = [\"<<column name>>\"],inplace=True) (inplace=True - will chage the origibal df)\n",
    "#2. df.drop(\"<<columnname>>\",axis=1)\n",
    "#3. median = df[\"<<Columnname\"].median()\n",
    "#   df[\"<<columnname\"].fillna(median)\n",
    "#split the data into traing and testing set mostly after this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f0d60f67",
   "metadata": {},
   "outputs": [
    {
     "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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.257668</td>\n",
       "      <td>12.836598</td>\n",
       "      <td>18.441432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.674118</td>\n",
       "      <td>7.127752</td>\n",
       "      <td>2.181947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.886000</td>\n",
       "      <td>7.195000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.195000</td>\n",
       "      <td>11.410000</td>\n",
       "      <td>18.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.630000</td>\n",
       "      <td>16.920000</td>\n",
       "      <td>20.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO\n",
       "count  391.000000  391.000000  391.000000\n",
       "mean     6.257668   12.836598   18.441432\n",
       "std      0.674118    7.127752    2.181947\n",
       "min      3.561000    1.980000   12.600000\n",
       "25%      5.886000    7.195000   17.000000\n",
       "50%      6.195000   11.410000   18.900000\n",
       "75%      6.630000   16.920000   20.200000\n",
       "max      8.398000   37.970000   22.000000"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.257668</td>\n",
       "      <td>12.836598</td>\n",
       "      <td>18.441432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.674118</td>\n",
       "      <td>7.127752</td>\n",
       "      <td>2.181947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.886000</td>\n",
       "      <td>7.195000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.195000</td>\n",
       "      <td>11.410000</td>\n",
       "      <td>18.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.630000</td>\n",
       "      <td>16.920000</td>\n",
       "      <td>20.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO\n",
       "count  391.000000  391.000000  391.000000\n",
       "mean     6.257668   12.836598   18.441432\n",
       "std      0.674118    7.127752    2.181947\n",
       "min      3.561000    1.980000   12.600000\n",
       "25%      5.886000    7.195000   17.000000\n",
       "50%      6.195000   11.410000   18.900000\n",
       "75%      6.630000   16.920000   20.200000\n",
       "max      8.398000   37.970000   22.000000"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()  #BEFORE IMPUTING"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f8a07f6",
   "metadata": {},
   "source": [
    "## Imputing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "822dca10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "imputer = SimpleImputer(strategy='median')\n",
    "imputer.fit(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a99c746f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3,)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(3,)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_.shape\n",
    "#calculates the statistics for all the 4 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "aa0c2a14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 6.195, 11.41 , 18.9  ])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([ 6.195, 11.41 , 18.9  ])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "21340ad9",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = imputer.transform(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5e81aafa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 5.869,  9.8  , 20.2  ],\n",
       "       [ 6.174, 24.16 , 21.2  ],\n",
       "       [ 6.749, 17.44 , 20.2  ],\n",
       "       ...,\n",
       "       [ 6.112, 12.67 , 20.2  ],\n",
       "       [ 6.297, 17.27 , 20.2  ],\n",
       "       [ 6.405, 10.63 , 20.9  ]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([[ 5.869,  9.8  , 20.2  ],\n",
       "       [ 6.174, 24.16 , 21.2  ],\n",
       "       [ 6.749, 17.44 , 20.2  ],\n",
       "       ...,\n",
       "       [ 6.112, 12.67 , 20.2  ],\n",
       "       [ 6.297, 17.27 , 20.2  ],\n",
       "       [ 6.405, 10.63 , 20.9  ]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ac9324c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ = pd.DataFrame(X, columns=df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1d53b78a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 391 entries, 0 to 390\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   RM       391 non-null    float64\n",
      " 1   LSTAT    391 non-null    float64\n",
      " 2   PTRATIO  391 non-null    float64\n",
      "dtypes: float64(3)\n",
      "memory usage: 9.3 KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 391 entries, 0 to 390\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   RM       391 non-null    float64\n",
      " 1   LSTAT    391 non-null    float64\n",
      " 2   PTRATIO  391 non-null    float64\n",
      "dtypes: float64(3)\n",
      "memory usage: 9.3 KB\n"
     ]
    }
   ],
   "source": [
    "df_.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "87ecf415",
   "metadata": {},
   "outputs": [
    {
     "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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.257668</td>\n",
       "      <td>12.836598</td>\n",
       "      <td>18.441432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.674118</td>\n",
       "      <td>7.127752</td>\n",
       "      <td>2.181947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.886000</td>\n",
       "      <td>7.195000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.195000</td>\n",
       "      <td>11.410000</td>\n",
       "      <td>18.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.630000</td>\n",
       "      <td>16.920000</td>\n",
       "      <td>20.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO\n",
       "count  391.000000  391.000000  391.000000\n",
       "mean     6.257668   12.836598   18.441432\n",
       "std      0.674118    7.127752    2.181947\n",
       "min      3.561000    1.980000   12.600000\n",
       "25%      5.886000    7.195000   17.000000\n",
       "50%      6.195000   11.410000   18.900000\n",
       "75%      6.630000   16.920000   20.200000\n",
       "max      8.398000   37.970000   22.000000"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "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>RM</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PTRATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>391.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.257668</td>\n",
       "      <td>12.836598</td>\n",
       "      <td>18.441432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.674118</td>\n",
       "      <td>7.127752</td>\n",
       "      <td>2.181947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.561000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>12.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.886000</td>\n",
       "      <td>7.195000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.195000</td>\n",
       "      <td>11.410000</td>\n",
       "      <td>18.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.630000</td>\n",
       "      <td>16.920000</td>\n",
       "      <td>20.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.398000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RM       LSTAT     PTRATIO\n",
       "count  391.000000  391.000000  391.000000\n",
       "mean     6.257668   12.836598   18.441432\n",
       "std      0.674118    7.127752    2.181947\n",
       "min      3.561000    1.980000   12.600000\n",
       "25%      5.886000    7.195000   17.000000\n",
       "50%      6.195000   11.410000   18.900000\n",
       "75%      6.630000   16.920000   20.200000\n",
       "max      8.398000   37.970000   22.000000"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1440456f",
   "metadata": {},
   "source": [
    "## Scikit Learn design"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea625b8",
   "metadata": {},
   "source": [
    "There are primariliy three types of objects\n",
    "1. Estimators - It estimates some parameters Eg. Imputer. It has a fit method and transform method. Fit method: fits the dataset and calculates internal parameters.\n",
    "\n",
    "2. Transformers - Transform method takes input and returns output based on the learnings from fit(). It alsa has convenience function called fit_transform() which fits and then transforms.\n",
    "\n",
    "3. Predictors - LinearRegression model is an example of predictor, fit() and predict() are two common functions. It also gives score function whic will evaluate the predictions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b38ff479",
   "metadata": {},
   "source": [
    "## Feature scaling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd6bb303",
   "metadata": {},
   "source": [
    "Primarily two types of feature scaling methods:\n",
    "1. Min-max scaling (Normalisation)\n",
    "    \n",
    "    (value-min)/(max-min)\n",
    "    \n",
    "    sklearn provides a class called MinMaxScaler for this\n",
    "2. Standardisation\n",
    "\n",
    "    (value-min)/std\n",
    "    \n",
    "    sklearn provides a class called Standard Scaker for this"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4293502",
   "metadata": {},
   "source": [
    "## Creating a Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e692442c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "my_pipeline = Pipeline([\n",
    "    ('imputer',SimpleImputer(strategy='median')),\n",
    "#   ... add as many as you want in your pipeline\n",
    "    ('std_scaler',StandardScaler()),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a3aac646",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_num_tr = my_pipeline.fit_transform(df_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "1f99cceb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.57729555, -0.42657057,  0.80699513],\n",
       "       [-0.12427302,  1.59067125,  1.26588852],\n",
       "       [ 0.72978585,  0.64666951,  0.80699513],\n",
       "       ...,\n",
       "       [-0.21636285, -0.02340316,  0.80699513],\n",
       "       [ 0.05842131,  0.62278851,  0.80699513],\n",
       "       [ 0.21883585, -0.30997512,  1.1282205 ]])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([[-0.57729555, -0.42657057,  0.80699513],\n",
       "       [-0.12427302,  1.59067125,  1.26588852],\n",
       "       [ 0.72978585,  0.64666951,  0.80699513],\n",
       "       ...,\n",
       "       [-0.21636285, -0.02340316,  0.80699513],\n",
       "       [ 0.05842131,  0.62278851,  0.80699513],\n",
       "       [ 0.21883585, -0.30997512,  1.1282205 ]])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_num_tr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "554313b4",
   "metadata": {},
   "source": [
    "## Selecting a desired model for the problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "ec4c2670",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor()"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor()"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "#model = LinearRegression()\n",
    "#model = DecisionTreeRegressor()\n",
    "model = RandomForestRegressor()\n",
    "model.fit(df,df_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a18fe654",
   "metadata": {},
   "outputs": [],
   "source": [
    "some_labels = df_label.iloc[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d071ef63",
   "metadata": {},
   "outputs": [],
   "source": [
    "some_data = df.iloc[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "67471692",
   "metadata": {},
   "outputs": [],
   "source": [
    "prepared_data = my_pipeline.transform(some_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "fa96c047",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([514521., 514521., 514521., 514521., 514521.])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([514521., 514521., 514521., 514521., 514521.])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(prepared_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "143501a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "325    409500.0\n",
       "140    294000.0\n",
       "433    281400.0\n",
       "416    300300.0\n",
       "487    462000.0\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "325    409500.0\n",
       "140    294000.0\n",
       "433    281400.0\n",
       "416    300300.0\n",
       "487    462000.0\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "some_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8b439212",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[409500.0, 294000.0, 281400.0, 300300.0, 462000.0]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[409500.0, 294000.0, 281400.0, 300300.0, 462000.0]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(some_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebdbac2b",
   "metadata": {},
   "source": [
    "## Evaluating the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "480d683e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n",
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "df_predictions = model.predict(df_num_tr)\n",
    "mse = mean_squared_error(df_label, df_predictions)\n",
    "rmse = np.sqrt(mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c69011ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "176409.73243931873"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "176409.73243931873"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2a5292f",
   "metadata": {},
   "source": [
    "## Using better evaluation technique - cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "7646613c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "scores = cross_val_score(model, df_num_tr, df_label, scoring=\"neg_mean_squared_error\", cv =10)\n",
    "rmse_scores = np.sqrt(-scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "c0a4bd6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([60236.79182692, 77704.14487905, 83366.69266836, 88645.15228188,\n",
       "       73806.72775619, 75254.15928756, 70323.02562078, 66970.94942528,\n",
       "       64317.97240454, 58624.20094978])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([60236.79182692, 77704.14487905, 83366.69266836, 88645.15228188,\n",
       "       73806.72775619, 75254.15928756, 70323.02562078, 66970.94942528,\n",
       "       64317.97240454, 58624.20094978])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "54b899af",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_scores(scores):\n",
    "    print(\"Scores: \",scores)\n",
    "    print(\"Mean: \",scores.mean())\n",
    "    print(\"Standard deviation: \",scores.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "9e5103ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores:  [60236.79182692 77704.14487905 83366.69266836 88645.15228188\n",
      " 73806.72775619 75254.15928756 70323.02562078 66970.94942528\n",
      " 64317.97240454 58624.20094978]\n",
      "Mean:  71924.9817100342\n",
      "Standard deviation:  9257.428441013039\n",
      "Scores:  [60236.79182692 77704.14487905 83366.69266836 88645.15228188\n",
      " 73806.72775619 75254.15928756 70323.02562078 66970.94942528\n",
      " 64317.97240454 58624.20094978]\n",
      "Mean:  71924.9817100342\n",
      "Standard deviation:  9257.428441013039\n"
     ]
    }
   ],
   "source": [
    "print_scores(rmse_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f88b81b",
   "metadata": {},
   "source": [
    "## saving the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "fc0c5665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['real_estate.joblib']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "['real_estate.joblib']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from joblib import dump, load\n",
    "dump(model, 'real_estate.joblib')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b1a022",
   "metadata": {},
   "source": [
    "## Testing the model on test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "9389a697",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n",
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "X_test = test_set.drop(\"MEDV\",axis=1)\n",
    "y_test = test_set[\"MEDV\"].copy()\n",
    "X_test_prepared = my_pipeline.transform(X_test)\n",
    "final_predictions = model.predict(X_test_prepared)\n",
    "final_mse = mean_squared_error(y_test, final_predictions)\n",
    "final_rmse = np.sqrt(final_mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "a1d0a74e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "173306.5193263081"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "173306.5193263081"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "3e1f1a42",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.] [401100.0, 501900.0, 319200.0, 147000.0, 247800.0, 388500.0, 266700.0, 980700.0, 367500.0, 489300.0, 396900.0, 394800.0, 268800.0, 405300.0, 279300.0, 508200.0, 264600.0, 296100.0, 228900.0, 451500.0, 445200.0, 621600.0, 359100.0, 743400.0, 420000.0, 436800.0, 357000.0, 672000.0, 743400.0, 105000.0, 556500.0, 329700.0, 516600.0, 466200.0, 275100.0, 491400.0, 504000.0, 396900.0, 661500.0, 732900.0, 350700.0, 315000.0, 245700.0, 407400.0, 365400.0, 506100.0, 424200.0, 420000.0, 352800.0, 384300.0, 226800.0, 646800.0, 516600.0, 340200.0, 327600.0, 478800.0, 306600.0, 525000.0, 392700.0, 373800.0, 470400.0, 323400.0, 525000.0, 428400.0, 558600.0, 966000.0, 474600.0, 512400.0, 147000.0, 485100.0, 182700.0, 422100.0, 361200.0, 445200.0, 285600.0, 426300.0, 426300.0, 466200.0, 520800.0, 411600.0, 485100.0, 462000.0, 585900.0, 413700.0, 403200.0, 506100.0, 472500.0, 449400.0, 312900.0, 417900.0, 489300.0, 275100.0, 382200.0, 405300.0, 289800.0, 518700.0, 422100.0, 151200.0]\n",
      "[514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.\n",
      " 514521. 514521. 514521. 514521. 514521. 514521. 514521. 514521.] [401100.0, 501900.0, 319200.0, 147000.0, 247800.0, 388500.0, 266700.0, 980700.0, 367500.0, 489300.0, 396900.0, 394800.0, 268800.0, 405300.0, 279300.0, 508200.0, 264600.0, 296100.0, 228900.0, 451500.0, 445200.0, 621600.0, 359100.0, 743400.0, 420000.0, 436800.0, 357000.0, 672000.0, 743400.0, 105000.0, 556500.0, 329700.0, 516600.0, 466200.0, 275100.0, 491400.0, 504000.0, 396900.0, 661500.0, 732900.0, 350700.0, 315000.0, 245700.0, 407400.0, 365400.0, 506100.0, 424200.0, 420000.0, 352800.0, 384300.0, 226800.0, 646800.0, 516600.0, 340200.0, 327600.0, 478800.0, 306600.0, 525000.0, 392700.0, 373800.0, 470400.0, 323400.0, 525000.0, 428400.0, 558600.0, 966000.0, 474600.0, 512400.0, 147000.0, 485100.0, 182700.0, 422100.0, 361200.0, 445200.0, 285600.0, 426300.0, 426300.0, 466200.0, 520800.0, 411600.0, 485100.0, 462000.0, 585900.0, 413700.0, 403200.0, 506100.0, 472500.0, 449400.0, 312900.0, 417900.0, 489300.0, 275100.0, 382200.0, 405300.0, 289800.0, 518700.0, 422100.0, 151200.0]\n"
     ]
    }
   ],
   "source": [
    "print(final_predictions, list(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "0db28c92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.57729555, -0.42657057,  0.80699513])"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([-0.57729555, -0.42657057,  0.80699513])"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prepared_data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "516bc195",
   "metadata": {},
   "source": [
    "## Using the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "20654f7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([514521.])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([514521.])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from joblib import load,dump\n",
    "import numpy as np\n",
    "model = load(\"real_estate.joblib\")\n",
    "features = np.array([[-0.57729555, -0.42657057,  0.80699513]])\n",
    "model.predict(features)"
   ]
  }
 ],
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