18[l1 + l2 reg].ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c538041f-8f8a-42ee-ab5c-b234d8b09a22",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a27858d4-9d1a-4b95-a7e6-ead2b2f03673",
   "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>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>...</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>68 Studley St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SS</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>3/09/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>-37.80140</td>\n",
       "      <td>144.99580</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>85 Turner St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1480000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>3/12/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>-37.79960</td>\n",
       "      <td>144.99840</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>25 Bloomburg St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1035000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>-37.80790</td>\n",
       "      <td>144.99340</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>18/659 Victoria St</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VB</td>\n",
       "      <td>Rounds</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>-37.81140</td>\n",
       "      <td>145.01160</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>5 Charles St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1465000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/03/2017</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>-37.80930</td>\n",
       "      <td>144.99440</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34852</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>13 Burns St</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>1480000.0</td>\n",
       "      <td>PI</td>\n",
       "      <td>Jas</td>\n",
       "      <td>24/02/2018</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3013.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>-37.81053</td>\n",
       "      <td>144.88467</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34853</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>29A Murray St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>888000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Sweeney</td>\n",
       "      <td>24/02/2018</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3013.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>-37.81551</td>\n",
       "      <td>144.88826</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34854</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>147A Severn St</td>\n",
       "      <td>2</td>\n",
       "      <td>t</td>\n",
       "      <td>705000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Jas</td>\n",
       "      <td>24/02/2018</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3013.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>-37.82286</td>\n",
       "      <td>144.87856</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34855</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>12/37 Stephen St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1140000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>24/02/2018</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3013.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34856</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>3 Tarrengower St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1020000.0</td>\n",
       "      <td>PI</td>\n",
       "      <td>RW</td>\n",
       "      <td>24/02/2018</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3013.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>-37.81810</td>\n",
       "      <td>144.89351</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34857 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Suburb             Address  Rooms Type      Price Method  \\\n",
       "0      Abbotsford       68 Studley St      2    h        NaN     SS   \n",
       "1      Abbotsford        85 Turner St      2    h  1480000.0      S   \n",
       "2      Abbotsford     25 Bloomburg St      2    h  1035000.0      S   \n",
       "3      Abbotsford  18/659 Victoria St      3    u        NaN     VB   \n",
       "4      Abbotsford        5 Charles St      3    h  1465000.0     SP   \n",
       "...           ...                 ...    ...  ...        ...    ...   \n",
       "34852  Yarraville         13 Burns St      4    h  1480000.0     PI   \n",
       "34853  Yarraville       29A Murray St      2    h   888000.0     SP   \n",
       "34854  Yarraville      147A Severn St      2    t   705000.0      S   \n",
       "34855  Yarraville    12/37 Stephen St      3    h  1140000.0     SP   \n",
       "34856  Yarraville    3 Tarrengower St      2    h  1020000.0     PI   \n",
       "\n",
       "             SellerG        Date  Distance  Postcode  ...  Bathroom  Car  \\\n",
       "0             Jellis   3/09/2016       2.5    3067.0  ...       1.0  1.0   \n",
       "1             Biggin   3/12/2016       2.5    3067.0  ...       1.0  1.0   \n",
       "2             Biggin   4/02/2016       2.5    3067.0  ...       1.0  0.0   \n",
       "3             Rounds   4/02/2016       2.5    3067.0  ...       2.0  1.0   \n",
       "4             Biggin   4/03/2017       2.5    3067.0  ...       2.0  0.0   \n",
       "...              ...         ...       ...       ...  ...       ...  ...   \n",
       "34852            Jas  24/02/2018       6.3    3013.0  ...       1.0  3.0   \n",
       "34853        Sweeney  24/02/2018       6.3    3013.0  ...       2.0  1.0   \n",
       "34854            Jas  24/02/2018       6.3    3013.0  ...       1.0  2.0   \n",
       "34855  hockingstuart  24/02/2018       6.3    3013.0  ...       NaN  NaN   \n",
       "34856             RW  24/02/2018       6.3    3013.0  ...       1.0  0.0   \n",
       "\n",
       "       Landsize  BuildingArea  YearBuilt               CouncilArea Lattitude  \\\n",
       "0         126.0           NaN        NaN        Yarra City Council -37.80140   \n",
       "1         202.0           NaN        NaN        Yarra City Council -37.79960   \n",
       "2         156.0          79.0     1900.0        Yarra City Council -37.80790   \n",
       "3           0.0           NaN        NaN        Yarra City Council -37.81140   \n",
       "4         134.0         150.0     1900.0        Yarra City Council -37.80930   \n",
       "...         ...           ...        ...                       ...       ...   \n",
       "34852     593.0           NaN        NaN  Maribyrnong City Council -37.81053   \n",
       "34853      98.0         104.0     2018.0  Maribyrnong City Council -37.81551   \n",
       "34854     220.0         120.0     2000.0  Maribyrnong City Council -37.82286   \n",
       "34855       NaN           NaN        NaN  Maribyrnong City Council       NaN   \n",
       "34856     250.0         103.0     1930.0  Maribyrnong City Council -37.81810   \n",
       "\n",
       "       Longtitude             Regionname Propertycount  \n",
       "0       144.99580  Northern Metropolitan        4019.0  \n",
       "1       144.99840  Northern Metropolitan        4019.0  \n",
       "2       144.99340  Northern Metropolitan        4019.0  \n",
       "3       145.01160  Northern Metropolitan        4019.0  \n",
       "4       144.99440  Northern Metropolitan        4019.0  \n",
       "...           ...                    ...           ...  \n",
       "34852   144.88467   Western Metropolitan        6543.0  \n",
       "34853   144.88826   Western Metropolitan        6543.0  \n",
       "34854   144.87856   Western Metropolitan        6543.0  \n",
       "34855         NaN   Western Metropolitan        6543.0  \n",
       "34856   144.89351   Western Metropolitan        6543.0  \n",
       "\n",
       "[34857 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('csvs/Melbourne_housing_FULL.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2adec406-924b-4db5-ac02-351cef3c6002",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Suburb             351\n",
       "Address          34009\n",
       "Rooms               12\n",
       "Type                 3\n",
       "Price             2871\n",
       "Method               9\n",
       "SellerG            388\n",
       "Date                78\n",
       "Distance           215\n",
       "Postcode           211\n",
       "Bedroom2            15\n",
       "Bathroom            11\n",
       "Car                 15\n",
       "Landsize          1684\n",
       "BuildingArea       740\n",
       "YearBuilt          160\n",
       "CouncilArea         33\n",
       "Lattitude        13402\n",
       "Longtitude       14524\n",
       "Regionname           8\n",
       "Propertycount      342\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c882cfd5-2edc-4df5-b562-ededb8e4fd62",
   "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>Suburb</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "      <th>Distance</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>SS</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1480000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1035000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>VB</td>\n",
       "      <td>Rounds</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Yarra City Council</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1465000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34852</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>PI</td>\n",
       "      <td>Jas</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1480000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34853</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>SP</td>\n",
       "      <td>Sweeney</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>888000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34854</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>2</td>\n",
       "      <td>t</td>\n",
       "      <td>S</td>\n",
       "      <td>Jas</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>705000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34855</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>SP</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1140000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34856</th>\n",
       "      <td>Yarraville</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>PI</td>\n",
       "      <td>RW</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Maribyrnong City Council</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1020000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34857 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Suburb  Rooms Type Method        SellerG             Regionname  \\\n",
       "0      Abbotsford      2    h     SS         Jellis  Northern Metropolitan   \n",
       "1      Abbotsford      2    h      S         Biggin  Northern Metropolitan   \n",
       "2      Abbotsford      2    h      S         Biggin  Northern Metropolitan   \n",
       "3      Abbotsford      3    u     VB         Rounds  Northern Metropolitan   \n",
       "4      Abbotsford      3    h     SP         Biggin  Northern Metropolitan   \n",
       "...           ...    ...  ...    ...            ...                    ...   \n",
       "34852  Yarraville      4    h     PI            Jas   Western Metropolitan   \n",
       "34853  Yarraville      2    h     SP        Sweeney   Western Metropolitan   \n",
       "34854  Yarraville      2    t      S            Jas   Western Metropolitan   \n",
       "34855  Yarraville      3    h     SP  hockingstuart   Western Metropolitan   \n",
       "34856  Yarraville      2    h     PI             RW   Western Metropolitan   \n",
       "\n",
       "       Propertycount  Distance               CouncilArea  Bedroom2  Bathroom  \\\n",
       "0             4019.0       2.5        Yarra City Council       2.0       1.0   \n",
       "1             4019.0       2.5        Yarra City Council       2.0       1.0   \n",
       "2             4019.0       2.5        Yarra City Council       2.0       1.0   \n",
       "3             4019.0       2.5        Yarra City Council       3.0       2.0   \n",
       "4             4019.0       2.5        Yarra City Council       3.0       2.0   \n",
       "...              ...       ...                       ...       ...       ...   \n",
       "34852         6543.0       6.3  Maribyrnong City Council       4.0       1.0   \n",
       "34853         6543.0       6.3  Maribyrnong City Council       2.0       2.0   \n",
       "34854         6543.0       6.3  Maribyrnong City Council       2.0       1.0   \n",
       "34855         6543.0       6.3  Maribyrnong City Council       NaN       NaN   \n",
       "34856         6543.0       6.3  Maribyrnong City Council       2.0       1.0   \n",
       "\n",
       "       Car  Landsize  BuildingArea      Price  \n",
       "0      1.0     126.0           NaN        NaN  \n",
       "1      1.0     202.0           NaN  1480000.0  \n",
       "2      0.0     156.0          79.0  1035000.0  \n",
       "3      1.0       0.0           NaN        NaN  \n",
       "4      0.0     134.0         150.0  1465000.0  \n",
       "...    ...       ...           ...        ...  \n",
       "34852  3.0     593.0           NaN  1480000.0  \n",
       "34853  1.0      98.0         104.0   888000.0  \n",
       "34854  2.0     220.0         120.0   705000.0  \n",
       "34855  NaN       NaN           NaN  1140000.0  \n",
       "34856  0.0     250.0         103.0  1020000.0  \n",
       "\n",
       "[34857 rows x 15 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols_to_use = ['Suburb', 'Rooms', 'Type', 'Method', 'SellerG', 'Regionname', 'Propertycount', \n",
    "               'Distance', 'CouncilArea', 'Bedroom2', 'Bathroom', 'Car', 'Landsize', 'BuildingArea', 'Price']\n",
    "df = df[cols_to_use]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b9453b94-50fe-47e8-a175-774b8e0bf876",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jlhb83\\AppData\\Local\\Temp\\ipykernel_14896\\1362985538.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[cols_to_fill_zero] = df[cols_to_fill_zero].fillna(0)\n",
      "C:\\Users\\jlhb83\\AppData\\Local\\Temp\\ipykernel_14896\\1362985538.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['Landsize'] = df['Landsize'].fillna(df.Landsize.mean())\n",
      "C:\\Users\\jlhb83\\AppData\\Local\\Temp\\ipykernel_14896\\1362985538.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['BuildingArea'] = df['BuildingArea'].fillna(df.BuildingArea.mean())\n"
     ]
    }
   ],
   "source": [
    "cols_to_fill_zero = ['Propertycount', 'Distance', 'Bedroom2', 'Bathroom', 'Car']\n",
    "df[cols_to_fill_zero] = df[cols_to_fill_zero].fillna(0)\n",
    "df['Landsize'] = df['Landsize'].fillna(df.Landsize.mean())\n",
    "df['BuildingArea'] = df['BuildingArea'].fillna(df.BuildingArea.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "00935c26-c267-456f-8083-22763e5b10ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jlhb83\\AppData\\Local\\Temp\\ipykernel_14896\\1379821321.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df.dropna(inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fc82113a-405a-474d-8810-4646a6b0ed6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .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>Rooms</th>\n",
       "      <th>Propertycount</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>Price</th>\n",
       "      <th>Suburb_Aberfeldie</th>\n",
       "      <th>...</th>\n",
       "      <th>CouncilArea_Moorabool Shire Council</th>\n",
       "      <th>CouncilArea_Moreland City Council</th>\n",
       "      <th>CouncilArea_Nillumbik Shire Council</th>\n",
       "      <th>CouncilArea_Port Phillip City Council</th>\n",
       "      <th>CouncilArea_Stonnington City Council</th>\n",
       "      <th>CouncilArea_Whitehorse City Council</th>\n",
       "      <th>CouncilArea_Whittlesea City Council</th>\n",
       "      <th>CouncilArea_Wyndham City Council</th>\n",
       "      <th>CouncilArea_Yarra City Council</th>\n",
       "      <th>CouncilArea_Yarra Ranges Shire Council</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4019</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>202</td>\n",
       "      <td>160</td>\n",
       "      <td>1480000</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4019</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>156</td>\n",
       "      <td>79</td>\n",
       "      <td>1035000</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>4019</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>134</td>\n",
       "      <td>150</td>\n",
       "      <td>1465000</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>4019</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>94</td>\n",
       "      <td>160</td>\n",
       "      <td>850000</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>4019</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>120</td>\n",
       "      <td>142</td>\n",
       "      <td>1600000</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 745 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rooms  Propertycount  Distance  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "1      2           4019         2         2         1    1       202   \n",
       "2      2           4019         2         2         1    0       156   \n",
       "4      3           4019         2         3         2    0       134   \n",
       "5      3           4019         2         3         2    1        94   \n",
       "6      4           4019         2         3         1    2       120   \n",
       "\n",
       "   BuildingArea    Price  Suburb_Aberfeldie  ...  \\\n",
       "1           160  1480000                  0  ...   \n",
       "2            79  1035000                  0  ...   \n",
       "4           150  1465000                  0  ...   \n",
       "5           160   850000                  0  ...   \n",
       "6           142  1600000                  0  ...   \n",
       "\n",
       "   CouncilArea_Moorabool Shire Council  CouncilArea_Moreland City Council  \\\n",
       "1                                    0                                  0   \n",
       "2                                    0                                  0   \n",
       "4                                    0                                  0   \n",
       "5                                    0                                  0   \n",
       "6                                    0                                  0   \n",
       "\n",
       "   CouncilArea_Nillumbik Shire Council  CouncilArea_Port Phillip City Council  \\\n",
       "1                                    0                                      0   \n",
       "2                                    0                                      0   \n",
       "4                                    0                                      0   \n",
       "5                                    0                                      0   \n",
       "6                                    0                                      0   \n",
       "\n",
       "   CouncilArea_Stonnington City Council  CouncilArea_Whitehorse City Council  \\\n",
       "1                                     0                                    0   \n",
       "2                                     0                                    0   \n",
       "4                                     0                                    0   \n",
       "5                                     0                                    0   \n",
       "6                                     0                                    0   \n",
       "\n",
       "   CouncilArea_Whittlesea City Council  CouncilArea_Wyndham City Council  \\\n",
       "1                                    0                                 0   \n",
       "2                                    0                                 0   \n",
       "4                                    0                                 0   \n",
       "5                                    0                                 0   \n",
       "6                                    0                                 0   \n",
       "\n",
       "   CouncilArea_Yarra City Council  CouncilArea_Yarra Ranges Shire Council  \n",
       "1                               1                                       0  \n",
       "2                               1                                       0  \n",
       "4                               1                                       0  \n",
       "5                               1                                       0  \n",
       "6                               1                                       0  \n",
       "\n",
       "[5 rows x 745 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.get_dummies(df,drop_first=True, dtype = int)\n",
    "df1 = df1.astype(int)\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b63c0af7-2c45-4f5c-9ee7-57d4c08b0f51",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('Price', axis=1)\n",
    "y = df['Price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8e37c924-36dc-4d52-8172-257d6e1f10a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "train_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.3, random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6511bac8-ad65-4f3d-8be9-81cab09c12b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "reg = LinearRegression().fit(train_X, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1177666a-1a5e-407f-b7f0-9bcf116b9007",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.13853683161631236"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.score(test_X, test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cdc35d15-e033-4fe6-b83f-01781d53aebe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6827792395792723"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.score(train_X, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "dd716e62-a362-4688-8637-e1bf00d1ead8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jlhb83\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.327e+15, tolerance: 7.963e+14\n",
      "  model = cd_fast.enet_coordinate_descent(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;}#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>Lasso(alpha=50, max_iter=100, tol=0.1)</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\">Lasso</label><div class=\"sk-toggleable__content\"><pre>Lasso(alpha=50, max_iter=100, tol=0.1)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "Lasso(alpha=50, max_iter=100, tol=0.1)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import linear_model\n",
    "lasso_reg = linear_model.Lasso(alpha=50, max_iter=100, tol=0.1)\n",
    "lasso_reg.fit(train_X, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fd75a0f8-3b2e-4683-8027-56f179a225cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jlhb83\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.327e+15, tolerance: 7.963e+14\n",
      "  model = cd_fast.enet_coordinate_descent(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 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-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 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-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 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-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 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-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Lasso(alpha=50, max_iter=100, tol=0.1)</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-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Lasso</label><div class=\"sk-toggleable__content\"><pre>Lasso(alpha=50, max_iter=100, tol=0.1)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "Lasso(alpha=50, max_iter=100, tol=0.1)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import linear_model\n",
    "lasso_reg = linear_model.Lasso(alpha=50, max_iter=100, tol=0.1)\n",
    "lasso_reg.fit(train_X, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b5e1a36-80a9-4b66-8559-c3b1748b40ef",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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   "pygments_lexer": "ipython3",
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