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{
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"cells": [
{
"cell_type": "markdown",
"source": [
"# Step 1) Reading and Understanding the Data"
],
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"cell_type": "code",
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"metadata": {
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"source": [
"# Importing the libraries\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LinearRegression\n",
"from sklearn import metrics"
]
},
{
"cell_type": "code",
"source": [
"!pip install matplotlib==3.4"
],
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"base_uri": "https://localhost:8080/"
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"id": "goqoTGvl6d0U",
"outputId": "6ab07d74-c5ac-480b-8294-5547d91e3778"
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"execution_count": 8,
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{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: matplotlib==3.4 in /usr/local/lib/python3.8/dist-packages (3.4.0)\n",
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"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.4) (1.4.4)\n",
"Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.4) (7.1.2)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.4) (0.11.0)\n",
"Requirement already satisfied: numpy>=1.16 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.4) (1.21.6)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.4) (2.8.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.7->matplotlib==3.4) (1.15.0)\n"
]
}
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{
"cell_type": "code",
"source": [
"data = pd.read_csv('car data.csv')"
],
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"id": "wPGuyvqR4o4Y"
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"execution_count": 9,
"outputs": []
},
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"cell_type": "code",
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"df = pd.DataFrame(data)\n",
"df.head()"
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" Car_Name Year Selling_Price Present_Price Kms_Driven Fuel_Type \\\n",
"0 ritz 2014 3.35 5.59 27000 Petrol \n",
"1 sx4 2013 4.75 9.54 43000 Diesel \n",
"2 ciaz 2017 7.25 9.85 6900 Petrol \n",
"3 wagon r 2011 2.85 4.15 5200 Petrol \n",
"4 swift 2014 4.60 6.87 42450 Diesel \n",
"\n",
" Seller_Type Transmission Owner \n",
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"3 Dealer Manual 0 \n",
"4 Dealer Manual 0 "
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" Year Selling_Price Present_Price Kms_Driven Owner\n",
"count 301.000000 301.000000 301.000000 301.000000 301.000000\n",
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" <tr>\n",
" <th>freq</th>\n",
" <td>26</td>\n",
" <td>239</td>\n",
" <td>195</td>\n",
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"\n",
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" element.innerHTML = '';\n",
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{
"cell_type": "code",
"source": [
"df.info()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xzcLZWlX47gA",
"outputId": "c4a590e2-767a-4b4f-b6ab-b968c5f49d59"
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"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 301 entries, 0 to 300\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Car_Name 301 non-null object \n",
" 1 Year 301 non-null int64 \n",
" 2 Selling_Price 301 non-null float64\n",
" 3 Present_Price 301 non-null float64\n",
" 4 Kms_Driven 301 non-null int64 \n",
" 5 Fuel_Type 301 non-null object \n",
" 6 Seller_Type 301 non-null object \n",
" 7 Transmission 301 non-null object \n",
" 8 Owner 301 non-null int64 \n",
"dtypes: float64(2), int64(3), object(4)\n",
"memory usage: 21.3+ KB\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Step 2) Data Cleaning and Preparation"
],
"metadata": {
"id": "oY-sj-dw5WnV"
}
},
{
"cell_type": "code",
"source": [
"# Deleting the \"Car_Name\" feature because, in the real world, the price of the car is not predicted based on the car's name\n",
"df1 = df.drop(\"Car_Name\", axis= 1)"
],
"metadata": {
"id": "d256n4A249Pc"
},
"execution_count": 15,
"outputs": []
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{
"cell_type": "code",
"source": [
"# Checking duplicates\n",
"df1.loc[df1.duplicated()]\n",
"# Two duplicate values were found"
],
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"colab": {
"base_uri": "https://localhost:8080/",
"height": 112
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"id": "QslE4zT84-4N",
"outputId": "db058072-c00c-448c-dd1a-0549084d8c4f"
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"execution_count": 16,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Year Selling_Price Present_Price Kms_Driven Fuel_Type Seller_Type \\\n",
"17 2016 7.75 10.79 43000 Diesel Dealer \n",
"93 2015 23.00 30.61 40000 Diesel Dealer \n",
"\n",
" Transmission Owner \n",
"17 Manual 0 \n",
"93 Automatic 0 "
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{
"cell_type": "code",
"source": [
"# Drop the duplicate values from the dataset\n",
"df2 = df1.drop_duplicates(keep='first')"
],
"metadata": {
"id": "gTpTLxap5ASN"
},
"execution_count": 17,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df2.shape\n",
"# Data has 8 columns and 299 (301-2) rows."
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "lCuO1LCO5B2O",
"outputId": "ba446ca4-7ca0-430e-a8de-2cdbf9cdc67f"
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"execution_count": 18,
"outputs": [
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"output_type": "execute_result",
"data": {
"text/plain": [
"(299, 8)"
]
},
"metadata": {},
"execution_count": 18
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{
"cell_type": "code",
"source": [
"# Checking Null values\n",
"df2.isnull().sum()*100/df2.shape[0]\n",
"# There are no NULL values in the dataset, hence it is clean."
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "iLcsRyDY5Dty",
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"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Year 0.0\n",
"Selling_Price 0.0\n",
"Present_Price 0.0\n",
"Kms_Driven 0.0\n",
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"Seller_Type 0.0\n",
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"dtype: float64"
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"metadata": {},
"execution_count": 19
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{
"cell_type": "code",
"source": [
"# Calculate the \"Age\" of cars from the \"Year\" feature\n",
"latest_year = df2.Year.max() + 1\n",
"latest_year"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "qYyukzi35FRx",
"outputId": "a8895266-4561-4513-b314-0ef030683d7d"
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"execution_count": 20,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"2019"
]
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"metadata": {},
"execution_count": 20
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"cell_type": "code",
"source": [
"df2[\"Age\"] = latest_year - df2[\"Year\"]\n",
"df2.head()"
],
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"base_uri": "https://localhost:8080/",
"height": 310
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"id": "wyEPNvyz5GyJ",
"outputId": "adae8c5d-d5b9-4e36-8885-b7656105f2c9"
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"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"<ipython-input-21-654c2ad9d7c9>:1: 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",
" df2[\"Age\"] = latest_year - df2[\"Year\"]\n"
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" Year Selling_Price Present_Price Kms_Driven Fuel_Type Seller_Type \\\n",
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" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "code",
"source": [
"# Changing columns order\n",
"change_column_order = ['Year','Age','Selling_Price','Present_Price', 'Kms_Driven', 'Fuel_Type', 'Seller_Type', 'Transmission', 'Owner']\n",
"df3 = df2.reindex(columns = change_column_order)\n",
"df3.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "eqsrWPN45IVE",
"outputId": "881e9c41-e15d-4791-d176-5c5f813a90f4"
},
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Year Age Selling_Price Present_Price Kms_Driven Fuel_Type Seller_Type \\\n",
"0 2014 5 3.35 5.59 27000 Petrol Dealer \n",
"1 2013 6 4.75 9.54 43000 Diesel Dealer \n",
"2 2017 2 7.25 9.85 6900 Petrol Dealer \n",
"3 2011 8 2.85 4.15 5200 Petrol Dealer \n",
"4 2014 5 4.60 6.87 42450 Diesel Dealer \n",
"\n",
" Transmission Owner \n",
"0 Manual 0 \n",
"1 Manual 0 \n",
"2 Manual 0 \n",
"3 Manual 0 \n",
"4 Manual 0 "
],
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"\n",
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" <th></th>\n",
" <th>Year</th>\n",
" <th>Age</th>\n",
" <th>Selling_Price</th>\n",
" <th>Present_Price</th>\n",
" <th>Kms_Driven</th>\n",
" <th>Fuel_Type</th>\n",
" <th>Seller_Type</th>\n",
" <th>Transmission</th>\n",
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" <td>5.59</td>\n",
" <td>27000</td>\n",
" <td>Petrol</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2013</td>\n",
" <td>6</td>\n",
" <td>4.75</td>\n",
" <td>9.54</td>\n",
" <td>43000</td>\n",
" <td>Diesel</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017</td>\n",
" <td>2</td>\n",
" <td>7.25</td>\n",
" <td>9.85</td>\n",
" <td>6900</td>\n",
" <td>Petrol</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2011</td>\n",
" <td>8</td>\n",
" <td>2.85</td>\n",
" <td>4.15</td>\n",
" <td>5200</td>\n",
" <td>Petrol</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2014</td>\n",
" <td>5</td>\n",
" <td>4.60</td>\n",
" <td>6.87</td>\n",
" <td>42450</td>\n",
" <td>Diesel</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
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" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-a0888d58-24d4-4889-b5e0-3531bf27a071');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
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]
},
"metadata": {},
"execution_count": 22
}
]
},
{
"cell_type": "markdown",
"source": [
"# Step 3) Exploratory Data Analysis (EDA)"
],
"metadata": {
"id": "n_Mr_bTu5NI4"
}
},
{
"cell_type": "code",
"source": [
"df3.Selling_Price.describe()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sc1RFBcp5KTG",
"outputId": "2c073e03-37d1-411a-ed9c-6afd4ecac004"
},
"execution_count": 23,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"count 299.000000\n",
"mean 4.589632\n",
"std 4.984240\n",
"min 0.100000\n",
"25% 0.850000\n",
"50% 3.510000\n",
"75% 6.000000\n",
"max 35.000000\n",
"Name: Selling_Price, dtype: float64"
]
},
"metadata": {},
"execution_count": 23
}
]
},
{
"cell_type": "code",
"source": [
"Selling_Price_mean_median = df3.Selling_Price.mean() - df3.Selling_Price.median()\n",
"print (Selling_Price_mean_median*1000,\"$\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cYIVc-AW5ano",
"outputId": "475bf1e9-ac59-41c0-cfc5-cfaa29f35eff"
},
"execution_count": 24,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1079.6321070234117 $\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"plt.figure(figsize=(20,8))\n",
"plt.subplot(1,2,1)\n",
"plt.title('Car Selling price Distribution Plot')\n",
"sns.distplot(df3.Selling_Price)\n",
"sns.set_style('darkgrid')\n",
"\n",
"plt.subplot(1,2,2)\n",
"plt.title('Car Selling price Spread')\n",
"sns.boxplot(y=df3.Selling_Price)\n",
"sns.set_style('darkgrid')\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 569
},
"id": "-w-V0oP55cbc",
"outputId": "a0573a03-4986-463d-debe-6f4bff12e295"
},
"execution_count": 25,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
" warnings.warn(msg, FutureWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1440x576 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-year scatter graph\n",
"sns.scatterplot(data=df3, x=\"Year\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Selling price per year\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Year\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 292
},
"id": "D-0XHoW05eYh",
"outputId": "ba3baed0-9685-4c53-aa5c-5f5d8be15006"
},
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Number of records related to year of the car bought\n",
"plt.figure(figsize = (7, 4))\n",
"ax=sns.countplot(data=df3, x=df3.Year)\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.title('Number of records related to year of the car bought', size=10)\n",
"plt.yticks(size=8)\n",
"plt.xticks(size=8)\n",
"plt.grid(linestyle='-')\n",
"\n",
"# Number of records for the age of car\n",
"plt.figure(figsize = (7, 4))\n",
"ax=sns.countplot(data=df3, x=df3.Age)\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.title('Number of records for the age of car', size=10)\n",
"plt.yticks(size=8)\n",
"plt.xticks(size=8)\n",
"plt.grid(linestyle='-')\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 567
},
"id": "LcTIxBB_5gi8",
"outputId": "9a027607-8779-42dc-ab6f-4233fa579aa4"
},
"execution_count": 27,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 504x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 504x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-present price scatter graph\n",
"sns.scatterplot(data=df3, x=\"Present_Price\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Present price vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Present price (Thousand bucks)\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 292
},
"id": "Mo4cJ_US5iX7",
"outputId": "35c16e8a-59ef-4c67-9e89-f16daf6fe13d"
},
"execution_count": 28,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"sns.set_theme(style=\"darkgrid\")\n",
"sns.jointplot(x=\"Present_Price\", y=\"Selling_Price\", data=df3, kind=\"reg\")\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 437
},
"id": "qH5fyZG_5j5k",
"outputId": "7977cbcf-f42d-4721-97ad-986929a43544"
},
"execution_count": 29,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x432 with 3 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Finding the Intended index\n",
"df3[(df3.Selling_Price>30)&(df3.Present_Price>80)].index"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fqLa8A7m5lrV",
"outputId": "d9a267d7-5307-47de-c4f4-b652ec1ab007"
},
"execution_count": 30,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Int64Index([86], dtype='int64')"
]
},
"metadata": {},
"execution_count": 30
}
]
},
{
"cell_type": "code",
"source": [
"df.iloc[[86]]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 81
},
"id": "6yPj2zeM5nIq",
"outputId": "606d4cb6-ceed-4bbf-81e2-08532d04761b"
},
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Car_Name Year Selling_Price Present_Price Kms_Driven Fuel_Type \\\n",
"86 land cruiser 2010 35.0 92.6 78000 Diesel \n",
"\n",
" Seller_Type Transmission Owner \n",
"86 Dealer Manual 0 "
],
"text/html": [
"\n",
" <div id=\"df-d237c999-db56-4c83-bf29-f77d9014635c\">\n",
" <div class=\"colab-df-container\">\n",
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"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Car_Name</th>\n",
" <th>Year</th>\n",
" <th>Selling_Price</th>\n",
" <th>Present_Price</th>\n",
" <th>Kms_Driven</th>\n",
" <th>Fuel_Type</th>\n",
" <th>Seller_Type</th>\n",
" <th>Transmission</th>\n",
" <th>Owner</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>86</th>\n",
" <td>land cruiser</td>\n",
" <td>2010</td>\n",
" <td>35.0</td>\n",
" <td>92.6</td>\n",
" <td>78000</td>\n",
" <td>Diesel</td>\n",
" <td>Dealer</td>\n",
" <td>Manual</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d237c999-db56-4c83-bf29-f77d9014635c')\"\n",
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" \n",
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" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
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" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
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"\n",
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" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
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" const docLink = document.createElement('div');\n",
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]
},
"metadata": {},
"execution_count": 31
}
]
},
{
"cell_type": "code",
"source": [
"# Calculate the \"Present_Price\" of cars compared to the \"Selling_Price\"\n",
"df3[\"Proportion_S_P_Price\"] = df3[\"Present_Price\"] / df3[\"Selling_Price\"]"
],
"metadata": {
"id": "INsa1tts5pBb"
},
"execution_count": 32,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df3.Proportion_S_P_Price.nlargest(10)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "nUez2oEp5qmI",
"outputId": "8ec7c6cf-cb6d-4d0d-eba5-cf47fbf56173"
},
"execution_count": 33,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"85 9.492000\n",
"77 8.233333\n",
"200 7.500000\n",
"37 6.514286\n",
"94 5.695000\n",
"90 4.897368\n",
"199 4.833333\n",
"78 4.348571\n",
"55 4.177778\n",
"47 3.952381\n",
"Name: Proportion_S_P_Price, dtype: float64"
]
},
"metadata": {},
"execution_count": 33
}
]
},
{
"cell_type": "code",
"source": [
"# Deleting the \"Proportion_S_P_Price\"\n",
"df3 = df3.drop(\"Proportion_S_P_Price\", axis= 1)"
],
"metadata": {
"id": "LAzeE9TO5sWJ"
},
"execution_count": 34,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df3.Present_Price.describe()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "4lLIAcuu5u_R",
"outputId": "f07d0b37-4f06-450c-f9ab-fd2ce1e0df0e"
},
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"count 299.000000\n",
"mean 7.541037\n",
"std 8.567887\n",
"min 0.320000\n",
"25% 1.200000\n",
"50% 6.100000\n",
"75% 9.840000\n",
"max 92.600000\n",
"Name: Present_Price, dtype: float64"
]
},
"metadata": {},
"execution_count": 35
}
]
},
{
"cell_type": "code",
"source": [
"Present_Price_mean_median = df3.Present_Price.mean() - df3.Present_Price.median()\n",
"print (Present_Price_mean_median*1000,\"$\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "AQXUQVvB5wwD",
"outputId": "c4835847-21d9-40fb-c39f-b8c8b796b4c2"
},
"execution_count": 36,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1441.0367892976587 $\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Distribution\n",
"plt.figure(figsize=(20,8))\n",
"plt.subplot(1,2,1)\n",
"plt.title('Car Present price Distribution Plot')\n",
"sns.distplot(df3.Present_Price, color='red')\n",
"# Spread\n",
"plt.subplot(1,2,2)\n",
"plt.title('Car Present price Spread')\n",
"sns.boxplot(y=df3.Present_Price)\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 573
},
"id": "iNZIjHFk5yYs",
"outputId": "0ba7c265-2229-448c-e01d-97386c7874d7"
},
"execution_count": 37,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
" warnings.warn(msg, FutureWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1440x576 with 2 Axes>"
],
"image/png": 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},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Plotting the target-Kms driven scatter graph\n",
"sns.scatterplot(data=df3, x=\"Kms_Driven\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Present price vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Kms Driven (Kilometres)\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "fE5IVtEp50QZ",
"outputId": "4bd0d2fe-1bcc-4d5d-c1f4-f5e9b7431eaf"
},
"execution_count": 38,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"sns.set_theme(style=\"darkgrid\")\n",
"sns.jointplot(x=\"Kms_Driven\", y=\"Selling_Price\", data=df3, kind=\"reg\")\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 437
},
"id": "DVsqNmKM513t",
"outputId": "3fdeb161-2798-43a2-b647-790c0828b31e"
},
"execution_count": 39,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x432 with 3 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"np.corrcoef(df3.Kms_Driven, df3.Selling_Price)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Epm0R0ke53b6",
"outputId": "97fbfbbf-2613-4ced-99f7-9e0c2239a962"
},
"execution_count": 40,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[1. , 0.02856559],\n",
" [0.02856559, 1. ]])"
]
},
"metadata": {},
"execution_count": 40
}
]
},
{
"cell_type": "code",
"source": [
"# Finding the Intended index\n",
"df3[(df3.Selling_Price<5)&(df3.Kms_Driven>400000)].index"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ZB0K7tnu59Js",
"outputId": "a947b307-dbf0-4090-89ae-90588d096179"
},
"execution_count": 41,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Int64Index([196], dtype='int64')"
]
},
"metadata": {},
"execution_count": 41
}
]
},
{
"cell_type": "code",
"source": [
"df[df[\"Car_Name\"] == \"Activa 3g\"]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 112
},
"id": "h_ZTZwCC5-tx",
"outputId": "896ea358-977a-40aa-b5f1-e9ec07575c1f"
},
"execution_count": 42,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Car_Name Year Selling_Price Present_Price Kms_Driven Fuel_Type \\\n",
"165 Activa 3g 2016 0.45 0.54 500 Petrol \n",
"196 Activa 3g 2008 0.17 0.52 500000 Petrol \n",
"\n",
" Seller_Type Transmission Owner \n",
"165 Individual Automatic 0 \n",
"196 Individual Automatic 0 "
],
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" <th>Kms_Driven</th>\n",
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" </tr>\n",
" <tr>\n",
" <th>196</th>\n",
" <td>Activa 3g</td>\n",
" <td>2008</td>\n",
" <td>0.17</td>\n",
" <td>0.52</td>\n",
" <td>500000</td>\n",
" <td>Petrol</td>\n",
" <td>Individual</td>\n",
" <td>Automatic</td>\n",
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},
"metadata": {},
"execution_count": 42
}
]
},
{
"cell_type": "code",
"source": [
"df3.Kms_Driven.describe()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "L0a-koiC6Ax9",
"outputId": "d9253e8c-6b66-4052-807d-6a935f41dddb"
},
"execution_count": 43,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"count 299.000000\n",
"mean 36916.752508\n",
"std 39015.170352\n",
"min 500.000000\n",
"25% 15000.000000\n",
"50% 32000.000000\n",
"75% 48883.500000\n",
"max 500000.000000\n",
"Name: Kms_Driven, dtype: float64"
]
},
"metadata": {},
"execution_count": 43
}
]
},
{
"cell_type": "code",
"source": [
"Kms_Driven_mean_median = df3.Kms_Driven.mean() - df3.Kms_Driven.median()\n",
"print (Kms_Driven_mean_median,\"Kms\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rSKg98tF6Cdq",
"outputId": "dc9f4211-243d-4199-8488-249294ba0d41"
},
"execution_count": 44,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"4916.752508361205 Kms\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"#Distribution\n",
"plt.figure(figsize=(20,8))\n",
"plt.subplot(1,2,1)\n",
"plt.title('Car Kms Driven Distribution Plot')\n",
"sns.distplot(df3.Kms_Driven, color='green')\n",
"\n",
"#Spread\n",
"plt.subplot(1,2,2)\n",
"plt.title('Car Kms Driven Spread')\n",
"sns.boxplot(y=df3.Kms_Driven)\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 573
},
"id": "GdTIkeUe6Efv",
"outputId": "37ea3974-cb34-45f3-d227-e7bddfca5e46"
},
"execution_count": 45,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
" warnings.warn(msg, FutureWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1440x576 with 2 Axes>"
],
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},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-Owner scatter graph\n",
"sns.scatterplot(data=df3, x=\"Owner\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Number of previous owners of the car vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Number of previous owners of the car\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "ZGI4xGvP6GTD",
"outputId": "a6a04286-ec17-4707-c0a4-45b6158137d9"
},
"execution_count": 46,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"df_sym = pd.DataFrame(df3['Owner'].value_counts())\n",
"df_sym.plot.pie(subplots=True, labels = df_sym.index.values, autopct='%1.1f%%', fontsize=8)\n",
"# Unsquish the pie.\n",
"plt.gca().set_aspect('equal')\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 248
},
"id": "MOEfhAZk6H5X",
"outputId": "c5d98a67-c2f5-4bc0-c88a-b2968d2ea396"
},
"execution_count": 47,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Count of cars by the number of previous owners\n",
"plt.figure(figsize = (5, 3))\n",
"ax=sns.countplot(data=df3, x=df3.Owner, ec='black')\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.ylabel('Count of cars', size=8)\n",
"plt.yticks(size=8)\n",
"plt.xlabel('Owner', size=8)\n",
"plt.xticks(size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 231
},
"id": "ogiTg2aw6JgX",
"outputId": "649e485c-6ef2-41d8-eb0d-ed096d6e6327"
},
"execution_count": 48,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 360x216 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-Fuel type scatter graph\n",
"sns.scatterplot(data=df3, x=\"Fuel_Type\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Fuel type vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Fuel type\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "aW34URYf6Qto",
"outputId": "69323b83-9b2e-482e-cc9c-0d6e45c87f9d"
},
"execution_count": 49,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Count of cars by fuel type\n",
"plt.figure(figsize = (5, 3))\n",
"ax=sns.countplot(data=df3, x=df3.Fuel_Type, ec='black')\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.yticks(size=8)\n",
"plt.xlabel('Fuel type', size=8)\n",
"plt.xticks(size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 231
},
"id": "_iT8j_Ct6SXy",
"outputId": "0ad9f90b-ad6b-47fe-ff76-c04455c8e83d"
},
"execution_count": 50,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 360x216 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-Fuel type scatter graph\n",
"sns.scatterplot(data=df3, x=\"Seller_Type\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Seller type vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Seller type\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "Zdur6z7s6UWh",
"outputId": "168d1bad-17b5-40b7-b456-afe3fdec52c0"
},
"execution_count": 51,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Count of cars by Seller type\n",
"plt.figure(figsize = (5, 3))\n",
"ax=sns.countplot(data=df3, x=df3.Seller_Type, ec='black')\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.ylabel('Count of cars', size=8)\n",
"plt.yticks(size=8)\n",
"plt.xlabel('Seller type', size=8)\n",
"plt.xticks(size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 231
},
"id": "wDNofdvr6V1Y",
"outputId": "c7a7a3be-5266-4267-8aa6-f4930ee2a65c"
},
"execution_count": 52,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 360x216 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plotting the target-Fuel type scatter graph\n",
"sns.scatterplot(data=df3, x=\"Transmission\", y=\"Selling_Price\")\n",
"sns.set_style('darkgrid')\n",
"plt.title(\"Transmission vs. Selling price\", size=10)\n",
"plt.ylabel(\"Selling price (Thousand bucks)\", size=8)\n",
"plt.xlabel(\"Transmission\", size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "xDh8mYab6Xco",
"outputId": "419ca641-cb23-4981-f734-4ed368e3d77c"
},
"execution_count": 53,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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iIt7KZeK4//77ARg+fDhDhgwhMTGxwYMSERHvVeM8jpEjR2IwGABwOBzk5+cTEBCAwWDg3XffbdQgf03zOESkufGmeRw1zhxfsWJFvZ1EREQuHi67qiZNmuT82+Fw8NxzzzVoQCIi4t1cJo5jx445/zYYDBw9erRBAxIREe923tVxAUJDQ3n//ffp3r07X3/9NaGhoS4Pmp2dzdNPP83Ro0exWCx06NCBadOmERYWRmxsLDExMRiNFTlr1qxZxMbGXviViIhIo6ixOF6pqKiI9957jyNHjnDppZdyxx134Ofnd96D5uTkcODAAa655hoAkpOTnSvqxsbG8tVXX9GiRYs6B63iuIg0N02iOF4pOzubm266qcpjV4mjcjn2SvHx8axcufICwhQREW/hMnHMnTsXqCiM//jjj4SEhLB48eJan6C8vJyVK1eSkJDgfG7UqFHY7Xb69+/PI488UuPy7TW5kMzZqlVgnT8rIuJJ3nL/ctlV9WuPPfYYs2fPrvX7X3jhBdLT05k3bx5Go5G0tDSioqLIz8/nqaeeIiYmhscff9ytoNVVJSLNTZPqqvrss8+cf2dkZLg1qio5OZnU1FQWLFjgLIZHRUUBEBAQwB133MHf//53d2MWEREPcpk4du/e7fw7KCiI119/vVYH/tvf/saePXtYuHChsyvq7NmzWK1WfH19KSsr46OPPiIuLq6OoYuIiCfUqqvq22+/JTU1lQ4dOnDllVe6POiPP/5IYmIiHTt2dO7f0a5dO+6//34mT56MwWCgrKyM7t27M2nSJLdHWKmrSkSaG2/qqnKZOJ5//nnMZjNdunRh//79lJSU8NJLL9VbAHWhxCEizY03JQ6XXVUnTpyoUocYPXp0vZ1cRERcMEBuYSmnfjqNv9WHID8fcP93c72qMXFUFsXDwsJ48803iYuLY//+/bRu3brRghMRadYMsO/oWV5b/Q0lpXasZhOPDo8n7pJgjyaPGteq2r17N7t376ZTp06Ulpby3XffYbPZaNeuXWPGJyLSbOUWljqTBkBJqZ3XVn9DbmGpR+OqscXx8MMPN2YcIiLyKzn5NgJbmEnqGQ0V2yOx7cuj5BTYCPIzeywulzUOERHxjLBgX35/bSdWbT3o7Kq6c0AMYYFWj8blcll1ERHxjJJSuzNpVHlcVu7RuGpsccybN6/GD6kbS0Sk4WWeLXYmjUolpXYyzxYT3sK9Nf7qU40tjquvvpqrr76a1NRUzGYz8fHxWCwW0tLSGjM+EZFmKzzYF6vZVOU5q9lEeJCvhyKq4DJxZGZm8uCDD9K3b1/GjBnDyZMnGzM+EZFmKzzQwkO3dXMmD6vZxEO3dSM8yHOtDahFcbx169ZMnjyZuLg49u3bp3kcIiKNpRyujA5j+oN9yM4vITTAWpE0PFviqN1aVd999x3Hjx+nXbt2XHHFFY0R13lpyRERaW68ackRl6Oq0tPT+fbbbzl8+DDbt28/b9FcREQufi67qsaNG8e9995LbGxsY8QjIiJezmXiaNu2LYmJiY0Ri4iINAEuE0dmZia33XYb0dHRABgMBmbNmtXggYmIiHdyWRw/ceLEOc+1bdu2wQKqDRXHRaTZ+M+y6oU2e52XVW/0/TjatGnDv//9b9LT053PeTpxiIg0C01tWfVK48eP5/PPP2fhwoUcPnyYnTt3NkZcIiLNnrcuq+4ycWRnZ/PYY48RHh7O448/Tl6eunpERBpDTr6t2rWqcgpsHoqogsuuKpPJhM1mIyIignnz5pGRkeHyoNnZ2Tz99NMcPXoUi8VChw4dmDZtGmFhYXzzzTdMnjyZkpIS2rZty1//+lfCw8Pr5WJERC4mIYFWrGZTleRhNZsI8eACh1CL4nhZWRk+Pj4UFhayc+dOrrjiCiIjI8970JycHA4cOMA111wDQHJyMmfPnmX69OkMHDiQmTNn0qtXL9544w2OHTvGzJkz3QpaxXERaRbqqcbR6DPHN2zYAMBPP/3E6tWr+frrr10eNCQkxJk0AOLj4zl58iR79uzBarXSq1cvAO68807+8Y9/1DV2EZGLXgtfH8aP6M4jw+MZP6I7LXw9v/+ey8TxwQcfALB8+XJmzJjBwoUL3TpBeXk5K1euJCEhgbS0NNq0aeN8LSwsjPLycnJyctyLWkSkGcgvLuNwWi5z3vuauau/Yc57X3M4LZf84jKPxuUydRUVFfHFF1/QokULIiIi8Pf3d+sEL774Iv7+/vzhD39g69atdQ70ly6kydWqVWC9xCAi0tDSD52pdgfALh3D6NQu1GNxuUwczz77LDt27GDcuHGUlJQwYMCAWh88OTmZ1NRUFixYgNFoJCoqqsp+HllZWRiNRkJCQtwKWjUOEWkOCopKqx1VVVBU6ta9rNFrHGVlZfTp04cjR47w3Xffcdlll9XqwH/729/Ys2cPr7/+OhZLxQiArl27UlxczJdffgnAqlWrGDRo0AWELyJy8WpZww6ALYOsHoqogstRVZXLqDscDg4ePIjBYOC1114770F//PFHEhMT6dixI76+FVsctmvXjtdff52vvvqKKVOmVBmO27JlS7eCVotDRJoFLx1VVauNnH5p3LhxvPHGG/UWQF0ocYhIs2GEzFzbBe0A2OhrVa1Zs8b5d0ZGBtnZ2fV2chEROQ8D7EttgmtVmUwmTCYTPj4+xMTEsGjRosaIS0Sk2Wuya1XdeuutWK1WTp06hc1mc9YsRESkYXnrWlUuE0flmlOXX345qampPPXUU40Rl4hIs1e5VtUvecNaVS4TR3p6Og899BD9+vVj7NixtVrkUERELlyQvw8P3dbNmTysZhMP3daNoBZmj8blsjgeGRnJ/Pnzueyyy9izZw+tWrVqjLhERJq93IJSVn98kKT+0WAAHLD644N0at2TID/PJQ+XiWPWrFls3bqVAwcO8Jvf/IaHHnqoMeISEWn2cvJtpGUWsvqTg1WfL7B5NHG47Kqy2WyYzWYiIiIoKiriww8/bIy4RESavSZb4/jTn/7ETz/9hMPhcP4nIiINL8jPh0eHx1epcTw6PJ4gf8/WOFzOHH/ooYdYsGBBY8VTK27PHDdUjIcutNnxt/oQ5Ofj0ckzIiK1Vnn/KrXjbzZVJA0371+NtuTI7NmzMRgM7NmzB4vFQufOnTEYDACMHz++3gKoC7cSRz2t9SIi4kkXsmRSoy050q1bNwIDA+nTp0+9ncwTapp5mTzuWo8Wl0REmqoaE8c777zD0qVLGzOWBnG+mZdKHCIi7qsxcZyvGG40uqype43KUQm/TB7eMCpBRKSpqrHGcdVVVxEXF4fD4XDWNir/9nRLRDUOEWk26mFwT6MVx0eNGsWyZcvq7UT1qc6jqi5gVIKISKPz0o2cauxzateuXb2dxOMcEORnplt0q4q6hpKGiDQBTW5Z9S5dupCbm3vO87m5uR7vqhIRaQ68dVn1GovjPXr0YObMmWRkZBAYGAhUJI3IyEjuvvvuRgtQRKS58tbBPbXaczwrKwuAsLCwWh84OTmZjz76iBMnTvDhhx8SExMDQEJCAhaLBavVCsCECRPo16+fW0Frz3ERaRa8tMbhcnVccC9hVLrhhhu45557qm2dvPbaa85EIiIiNXBA3CXBJI+71qsG99QqcdRFr169GurQIiLNjwP4z9QIT6tV4vj222/JyMjghhtu4NSpU7Rp0+aCTjphwgQcDgc9e/bkiSeeICgo6IKO59J/huOe+um0FjkUkabDS+ehuaxxTJs2DX9/f/7973+zZs0a7rvvPpYsWVLrEyQkJLBgwQJn11RaWhpRUVHYbDZmzJhBQUEBL7/88oVdxXmUlzv47Ps0Xl35lfOLf/yuHvTpFoXR6B3ZW0SkOicy8nlh0Wf0i29XsQMgsOPr40y5vw9tI+qvZuEuly2OQ4cO8c477zBq1CgA7Ha7i0+cX1RUFAAWi4WRI0cyduxYt4/hTnE8t6jUmTSgYijbqyu/onWoFjkUEe92JruQAdd04L2tB50/fEcMiOFMTgEWQ+2bHI02AbCSv78/3377LQB79+51Ds2ti8LCQvLyKkY1ORwONm/eTFxcXJ2PVxs5Bd45DlpExBWrxceZNKDi3vXe1oNYzQ1Wnq4Vl2efMWMGb731Fn5+fnzwwQdMmzatVgeePn06//znPzlz5gz33nsvISEhLFiwgEceeQS73U55eTnR0dFMmTLlgi/ifFr4mqsdB93CV60NEfFuBcWl1f7wLSguJTzAc3M5XNY4jhw5QocOHTAYDDgcDlJTU+nYsWMjhVc9d7qqTmYVcvD42XOaejHtg2kT6t/AkYqI1F1ucRnPvL7znB++7u4n1OhdVVOmTHGujmswGBq8hVDfAvwtbP08laT+0Qy/MYak/tFs/TyVALU4RMTLeeue4y67qoqLi51/OxyOKo+bgiA/H/4wKO6c4WzeMIlGROS8vHQCoMuuqhUrVvDPf/6Tyy67jH379jFgwABGjhzZWPFVS8uqi0hz4017jtd6rarjx4/Trl27Oi0/Ut+0VpWINDfelDhq7Kpau3Ytt99+O7Nnz3bWOCqNHz++3gJoFJo5LiJSb2pMHJdffjkA1157baMF0yC8dMq+iEhTdd6uKofDwf3338/ixYsbMyaX3J05/swbuy54OJuIiCc1ia4qqBh+27FjRzZv3szll1+O0Vgxerd9+/b1FkBDO9/McSUOERH3uRyOW1hYyI4dO9ixY4fzuZkzZzZoUPVJM8dFROpXrUZVlZWVkZmZSXh4OD4+nl0jBTRzXESanybTVQXw/vvvk5KSQps2bTh58iRDhw5l+PDh9RZAQwvwt/DFD2k8OiKeYpsdX4uJjTsO0aNzS0+HJiLSJLlMHGvXrmXFihUYjUbsdjsjR45sUokjyN+Hm3p35LX3/juq6qHbuhHUwgzlno5ORKTpcZk4unbtynfffUdcXBz79++nR48elJdX3HEri+XeLLeglNUfHySpf7RzI5TVHx+kU+ueKo6LiPfzwnloLmsclRs4nfNBg4GlS5c2SFCuuFvjOHwqj+Vb9jtbHH+4uQudogJV4xAR71ZP89A8suSIt3EncWQV2nhu/mfnjKqa8VAfwlp4bj17ERFX6mseWqMXx5u6rNySaudxZOWVKHGIiFfLybcR2MJMUs//drVv+/Kox+ehXfSJw2oxVTuPw2oxeTAqERHXwoJ9+f21nVj1i+kEdw6IISzQ6tG4XCaOL774ouoHfHxo27YtERERDRZUfWrh68OdA2LO+eL9rRd9zhSRJq7cXu68d0FFb8mqrQfp7uHpBC7vnn//+98pLS0lLi6OAwcOOLeQjYuL47HHHmuEEC9MWKCFVqF+DP3dbyh3ODAaDLQK9SM8yAJ2158XEfGUnHzvXDLJZeKw2+289dZbzscPPPAAb731FiNGjGgSiQM7XNYphPBgP7JziwkL9iUi1Aplng5MROT8QgKt1Xa1h3i4PutyIkZRURGbN2/m0KFDbN682bl17PmWHklOTiYhIYHY2FgOHjzofP7w4cOMGDGCgQMHMmLECI4cOXLhV+CKAQ4dy+PbH89w5FQe3xw8w6Fjec5Ck4iIt/LWPcddDsfNycnh/fff5/jx47Rv355hw4YRHBxMQUEBAQHVD+/68ssvadu2LXfffTcLFiwgJiYGgHvuuYfbb7+dpKQkNmzYwNq1a+s0F8Sd4bj5JWXsPnD6nBpHz9hWBKjOISLerh62vq7v4bguWxwhISH069ePxMRErrzySn788UcMBkONSQOgV69eREVFVXkuMzOTvXv3kpiYCEBiYiJ79+4lKyvrAi/h/HKLyqotLuUWqa9KRJoABwT5mekW3aqiruEFM+9c/uR+8MEHiYyMrDKK6qqrrnL7RGlpaURGRmIyVTS5TCYTERERpKWlub2PuTuZM/V0QbXjoEtL7bRqFejWeUVEPMlb7lkuE4fD4WDatGmNEUutudNVFdjCXO046AB/c52XKBYRaWxNall1X19fXnrpJTp37ozBUPGTfdiwYW6fKCoqivT0dOx2OyaTCbvdTkZGxjldWvWtqMRebVfV8+2vhhYNemoRkYuSyxrH9ddfT1xcHD4+PphMJmdXk7vCw8OJi4tj48aNAGzcuJG4uDi3u6ncVWwrq3YcdLFNkzhEROqixhZHRkYGERER9OrVy+2DTp8+nX/+85+cOXOGe++9l5CQEDZt2sTUqVOZOHEib7zxBkFBQSQnJ19Q8LUR1KL6cdBBWqdKRKROahyOu3DhQsaMGcOzzz57zmue3nPcrWXVc4r48WjOOTWOzh1CaBPs18CRiojUD2+qcVz0y6ofSs/jo8+OcEu/aHILbQS1sPDh9kMM7NOJ6Mj6+yJFRBqSNyWOGruqRo4c6SyGV3I4HBgMBt599916C6ChhQf70rtrG156+wtni+OBpK6EBXl2dUkRkabqom9xpOeWMPWtf59T45j6QG8ilTxEpIloEi2Op5566pwWR6VZs2bVWwANLTuv+o2ccvJKlDhEROqgxsTRJFa+rYWQAEv1o6oCNKpKRJqA/6xVdeqn0/hbfQjy8/H4siM1zuNo27Ytbdu2xWAw8Oabb/Lqq6/SunVrdu3a1ZjxXTCrtaKm8cvVJR9I6oqvdgAUEW9ngH1Hz/LMG7uYNH8Xz7y+k31Hz3p8dW+XEwAnTZrEH//4RzIyMjCZTM4JfE2FrbSM4AAz40d055Hh8Ywf0Z3gADO2Mi1yKCLeLbewlOX/2EdS/2iG3xhD0nXRLP/HPnILSz0aV602coqOjnY+Li8vb9CA6pvJaCS3sJTT2cW/2AHQl2AP79krIuJKfnEpA67pwHu/mIc2YkAM+cWl3r0DYO/evZk8eTIZGRlMnz6d3/72t40RV/1xGFi4bs85NY4XH+zjwaBERFzzMZmcSQMqBva8t/UgUx/o7dm4XL3hz3/+MwcOHKBPnz506tSJLl26NEZc9aamUVXZeSW0VIFcRLxYdn4No0LzPTsqtMYaxw8//EBhYSEALVu2ZO/evWzcuJH09PRGC64++Pv6OAvjlaxmE36+2v1PRLxbWJC12vtXqIe72mtMHC+++CK+vr5AxZyOuLg4fvvb3zJp0qRGC64+WCxGHhjyq1FVQ7pitbgcFyAi4lGtgq08OLRblfvXg0O7ERHi2cRR489us9mM0WgkOzub06dPM3jwYADmz5/faMHVB4MDPvm/VB4dEU9xiR0/q4kPdxzi3lsu93RoIiLnZ4f4zmG8MKY32bklhAZZK5KGh3eFqDFx+Pv7s3btWr755hsGDRoEQFlZGcXFxY0WXH0oKC6jd7c2vPbeN85RCSMHxlJQXEbLAI2sEhEvZ4eIQCuXX9qyYskRL9hKqMb+mldeeYXi4mLi4+N58MEHgYo9Oir/biqsFhMrPjpQZVTCio8OYNUEQBGROqmxxREQEMDdd99d5bk2bdrQpk2bBg+qPhUUllY7KqGgqAyCPBSUiEhtGSEz18aPp04SFmglPNACHp5Od9EPLfK1+lS7VpVaHCLi9Yzw7aEsFqR87+xqf+i2blwZHebR5HHRDy3y8TEw5lejqsYM6YrZ7OHFXkREXMjMtTmTBlT0lixI+Z7MXJtH47roWxxmkxGDAcaP6E5RSRl+vj4Ul5TiY7joc6aINHFZecXVdrVn5ZUQ7sEJzB5JHAkJCVgsFqzWilFNEyZMoF+/fg1yLltZOWfzbby5dU+VPcdbt2paa26JSPMTEmittqs92MOrXnisxfHaa68RExPT4OcpsztY9au1XlZtPchz913d4OcWEbkQJbYyRgyIOWeRQ1tpGeC56QQXfVdVUXFZtU29omItqy4i3s3s48PWz1NJ6h9dsQeHA7Z+nkpcx+4ejctjiWPChAk4HA569uzJE088QVBQw4yNDQmsfgdATzf1RERcKSiqfln1guJS8OAihwaHw9HomxCmpaURFRWFzWZjxowZFBQU8PLLLzfIuX48nk3qydxzhrN1aBNE53ahDXJOEZH6cPBoNi8v/5J+8e2cLY4d3xxnwh96EnNJmMfi8kji+KUDBw4wduxYtm3bVuvPZGbmU15eu7CPZxUxf+2353zxY2+/knZhfnWMWkSk4eXbyti9/7SzTls5uKdnl1YEWGrfYWQ0GggPD6i3uBq9q6qwsBC73U5gYCAOh4PNmzcTFxfXYOcrtpVRav/FCCoDlNrLKbapxiEi3i0ju5hNuw5XqXFs2nWY9pGBBETWXyJwV6MnjszMTB555BHsdjvl5eVER0czZcqUBjtfWJCV31/b6ZyMHebB/kERkdrw9/Uhr6CU1Z8cdD5nNZvw9/B+Qh7vqqoLd7qqMvJKmLLw3+cUx18Y05sI7TsuIl4su7CU7346c84P3yt+05JQ/9rvOd7ku6oaW3ZuzVvHKnGIiDfLK7RV21XVqU2QW4mjvl30iSM0yEpUuP9/i+PAjq+PE6K9OETEy4UEWKvtqgpp0UxnjjeW0lI7t13fmUUb/rvkyP1JXSkr84LdUEREzsNogDsHxJzTVWU0enaR1os+cZhMJmfSgIpuqkUb9jDl/t4ejkxE5Pyycktq7KoKsHru9n3RJ46CYlv1GzkVl0KwuqtExHuFBHpnV9VFv7a4r8XHuRdHJW3kJCJNQZCfD48Oj6+yn9Cjw+MJ8mBhHJrBcNyTZ4v4MTXnnD7Czh1CaBOsmeMi4uX+s3VsVn4JYQFWwoPc3zpWw3HdZPUx4e9rZujvfkO5w4HRYMDf14zVRy0OEfFyBtiXepbXVn/j/OH76PB44i4JBg/+5L/ou6owQmighUsiA4kM8+eSyEBCAy3N4cpFpInLLSx1Jg2oqM++tvobcgtLPRrXRd/iKC0t58TpgnO6qgJaWEA9VSLixXLyqx/ck1NgI8jPc3WOi/53t72GHQDt9iZX2hGRZqZy69hf0qiqRlBUUsMOgCVaHVdEvJu3jqq66LuqWviaq90B0N/Xs1+8iEhtWHyMVQb3WHw8/3v/ok8cVquRkQO7sOKj/c4ax8iBXfC1eP7LFxE5n9zCUl5e8dU5P3yTx13r0RrHRZ84/P1NtA73q5KxW4f74d/C5NHhbCIirnhrcfyiTxwAQf4+XPGblmTnFRMa5IvBoQUORcT7VRbHf93iUHG8gdls4Ofvg+E/i0kaDBWPbTbPxiUi4oq3Fscv+iVHSgx2fHzgTGYZWbnFhAX70jLMh7IysDo0e1xEvJwPpGeVkJVbTHiwLxGhVnBzUGh9Lzly0bc4fHyg9FeTLEtLK54XEfFqJkhNy8dWaqe83EFJqZ3UtHzw8G9ejySOw4cPM2LECAYOHMiIESM4cuSIJ8IQEfFqZwurb1rU9Hxj8cjv7ilTpjBy5EiSkpLYsGEDkydPZunSpQ12vv0/n+XNdd87h+M+OLQb3WKDG+x8IiL1wQFk59nOuX8FB/l6NK5Gb3FkZmayd+9eEhMTAUhMTGTv3r1kZWU1yPnOZJY5v3SoGMr25rrvOZOpmeMi4t2Ki+3V3r+KSzw7MrTRE0daWhqRkZGYTBWddCaTiYiICNLS0hrkfFm5xdWOg87OK26Q84mI1JfsvOrvXzkevn81yRKxO6MDMvJKqh0HHRroS6tWgQ0RnohIvTidb6v2/hUe7OfR+1ejJ46oqCjS09Ox2+2YTCbsdjsZGRlERUXV+hjuDMeNCLPy4NBu5/QRRoZbOX06r66XISLS4FoFW6q9f7UKtrh1/6rv4bgemccxatQohg0b5iyOr1mzhmXLltX68+4kDgDMkJ5ZUjFzPNCXyHAreHYfFBGR2jFBRk4J2bklhAZZiQixgpsljosicRw6dIiJEyeSm5tLUFAQycnJXHrppbX+vNuJ4z9atQpUK0NEmqQLuX9dFInjQilxiEhz402J46KfOS4iIvVLiUNERNyixCEiIm5pkvM4jEaDRz4rIuJJdb1/1fd9r0kWx0VExHPUVSUiIm5R4hAREbcocYiIiFuUOERExC1KHCIi4hYlDhERcYsSh4iIuEWJQ0RE3KLEISIibvH6xJGQkEDfvn2x2/+7c0lKSgqxsbEsX768UWM5fvw411xzTaOeU0S829mzZ7niiiuYPn16rd7/8ccf89133zVwVFXNnTsXm83mfDxnzhw2b95c5+N5feIAiIiI4F//+pfz8bp167j88ss9GJGISIWNGzdy5ZVXsmnTpio355p4InHMmzeP0tL/bns6fvx4Bg8eXOfjNYnEMXToUFJSUgA4duwYhYWFxMTEAPDZZ58xYsQIhgwZwi233MKmTZucnxs1ahTJycncdddd3HDDDbz88svO1xISEjh48GC1j5OTk7n99tu59dZb+eMf/8iJEyca4zJFpAlau3Yt48aNIzY2lk8++QSAiRMnVukRqXy8Y8cOtm3bxsKFC0lKSmL9+vUALFy4kMTERBITE3n22WcpKCgAKloKjz/+OA888AADBgzgscceY+/evdxzzz3ceOONJCcnO8+xZMkSbr/9doYMGcKIESPYt28fAC+88AIAd955J0lJSeTm5laJz2azkZycTGJiIrfeeit//vOfXV5zk1gd9+qrr2bFihWcPXuWdevWMWTIEH744QcALrvsMlasWIHJZOLMmTPcdttt9O3bl+DgYADS0tJ49913KSgo4MYbb2TYsGF07NjxvOd74IEHeOaZZwB4//33efnll3n11Vcb9BpFpOnZv38/OTk59O7dm9OnT7N27VpuvvnmGt/fr18/EhIS6Nq1K3/4wx8A+N///V8++OADVq1aRYsWLXjmmWd44403eOqppwD44YcfWLt2Lf7+/gwdOpRXXnmFRYsWUVZWxg033MCIESPo2LEjQ4YM4b777gNg165dTJkyhdWrVzNlyhRWrFjhPP6vLVy4kGPHjpGSkoLFYiErK8vldTeJxGEwGLj55pvZtGkTmzZtYtWqVc7EkZWVxaRJk0hNTcVkMnH27FkOHz5MfHw8AIMGDcJoNBIYGEh0dDRHjx51mTi2b9/OihUrKCwspKysrIGvTkSaqjVr1pCUlITBYOCmm25i+vTppKenu3WMzz77jMGDBxMQULG16/Dhw3nppZecr/ft25fAwEAAYmNj6dKlCxaLBYvFQqdOnZz3tD179vDmm29y9uxZDAYDR44cqdX5P/30UyZOnIjFYgEgLCzM5WeaROKAiu6qO+64g6uuuorQ0FDn81OnTiUhIYF58+ZhMBgYOHAgJSUlztetVqvzb5PJ5Cyym0wmysvLna9VfubEiRPMnDmTNWvW0L59e7766ismTJjQ0JcnIk2MzWZj48aNWCwWNmzYAEBpaSkpKSk13l/q4tf3sOruaTabjfHjx7N8+XIuv/xy0tPT6d+/f53P6UqTqHEAtG/fnscff5xx48ZVeT4vL4+2bdtiMBjYuXMnqamptTreJZdcwvfffw9UZPwzZ84AkJ+fj9lsplWrVpSXl7Nq1ar6vRARuSh88skndOrUie3bt7Nt2za2bdvGkiVLWLduHR06dHDeXzIyMvj888+dnwsICCAvL8/5uE+fPmzZsoX8/HwcDgdr1qzh2muvdSsWm81GWVkZUVFRAKxYsaLK6y1atCA/P7/az15//fW88847zsL+RdNVVWnEiBHnPPfkk0/ywgsvMHfuXLp160ZsbGytjjV+/Hhngah37960adMGqGgKDho0iMGDBxMaGsp1113Hl19+Wa/XISJN39q1a7nllluqPNe9e3fKy8uJj49nx44dDB48mI4dO3LFFVc433Prrbfy7LPP8o9//IN7772XIUOGcODAAe68804AunbtytixY92KJSAggEcffZRhw4YREhLCwIEDq7x+3333cc899+Dr68uyZcuqvDZmzBheeeUVhgwZgtlspkOHDrz22mvnPZ92ABQREbc0ma4qERHxDkocIiLiFiUOERFxixKHiIi4RYlDRETcosQhF728vDxGjRrFqFGj6NmzJ6NGjeLZZ59t0HOePn2a+fPn1+q9CxcudHu2sYgnaTiuNCt33XUXK1euBKC8vByjUb+dRNzVpCYAitSHiRMn4u/vz5EjR5g5cyYTJkygrKyM2NhYpk6dyueff85bb72Fj48POTk5LF68mAMHDjBz5kx8fX259dZb6dOnD08//TQtW7YkNTWVBx54gJSUFIqKili8eDFZWVnMnj2bl156iYcffpiioiLCwsKYM2cOzzzzDCdOnMBgMPDOO+8wadIkxo4dS1hYGBMmTCA/P5+4uDief/55UlJS+PTTTykuLgYqWicGg8HD36A0d/q5Jc1Sjx49WLJkCaGhofz9739n5cqV5OfnOxeGM5vNLFiwgOuuu47PPvuM7du3M2HCBJYtW8awYcMAKCwsZPbs2dx///1s2rSJJUuWcN1111XZO+bUqVOEhYWxbNkyZs+eTWlpKadOnWL58uUsXbq0Sovnvffe4+abb+bdd9+lqKiIb7/9FoDIyEjeeustIiMjOXDgQON9SSI1UOKQZqlyI7CcnBweffRRRo0axVdffUVGRgaAc7+XyMhI8vLyuOuuu9iyZQsTJkxwrkEUHR2N0WgkIiLC+f6IiAjOnj3rPM8ll1xCTEwMTz75JG+//TZms5mhQ4cyYcIEZs+eXWUhvKNHjzrj6tq1q3PdtV/Gkpub25Bfi0itKHFIs1T5S3/jxo3ceOONLFu2jO7du1Ndyc/hcBAcHMzUqVN56qmnnOv41KbLyGazMXr0aF555RV27NjBmTNn+P3vf8/LL79MVlaWMwlBRZKp3C5gz549XHLJJeecRyVJ8QaqcUiz1rt3b5555hk+/vjj875v1apVbN26lcLCQh544IFaH//EiRNMmjSJ8vJy2rVrh9lsZvTo0djtdgICApytCajYh+HJJ59k9erVxMbGEh8fz88//1znaxNpKBpVJSIiblFXlYiIuEWJQ0RE3KLEISIiblHiEBERtyhxiIiIW5Q4RETELUocIiLiFiUOERFxy/8DFSPNMWubiBwAAAAASUVORK5CYII=\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Count of cars by Transmission\n",
"plt.figure(figsize = (5, 3))\n",
"ax=sns.countplot(data=df3, x=df3.Transmission, ec='black')\n",
"sns.set_style('darkgrid')\n",
"for cont in ax.containers:\n",
" ax.bar_label(cont)\n",
"plt.ylabel('Count of cars', size=8)\n",
"plt.yticks(size=8)\n",
"plt.xlabel('Transmission', size=8)\n",
"plt.xticks(size=8)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 231
},
"id": "aQSwdGEM6ZUV",
"outputId": "21d55d97-398b-419c-cf35-d6e47abb9618"
},
"execution_count": 54,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 360x216 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"plt.figure(figsize = (5, 3))\n",
"a=df3.groupby('Transmission')['Selling_Price'].mean()\n",
"ax = a.plot.bar(ec='black', width=.7, color=\"m\")\n",
"for container in ax.containers:\n",
" ax.bar_label(container)\n",
"plt.title('Transmission vs. Average Selling price', size=10)\n",
"plt.ylabel(\"Selling price\", size=8)\n",
"plt.xlabel('Transmission', size=8)\n",
"plt.xticks(rotation=0)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 240
},
"id": "AgiD780m6a3f",
"outputId": "87137b47-6fbf-4e33-eaf1-46773f9f8a3d"
},
"execution_count": 55,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 360x216 with 1 Axes>"
],
"image/png": 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},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"# Step 4) Training a Linear Regression Model"
],
"metadata": {
"id": "kwpPDk3p6t8G"
}
},
{
"cell_type": "code",
"source": [
"df4 = df3.drop(\"Year\", axis= 1)\n",
"df4.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "z77l763S6xvw",
"outputId": "abc7a7fe-206b-411d-9bd0-b8a42d411fe1"
},
"execution_count": 56,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Age Selling_Price Present_Price Kms_Driven Fuel_Type Seller_Type \\\n",
"0 5 3.35 5.59 27000 Petrol Dealer \n",
"1 6 4.75 9.54 43000 Diesel Dealer \n",
"2 2 7.25 9.85 6900 Petrol Dealer \n",
"3 8 2.85 4.15 5200 Petrol Dealer \n",
"4 5 4.60 6.87 42450 Diesel Dealer \n",
"\n",
" Transmission Owner \n",
"0 Manual 0 \n",
"1 Manual 0 \n",
"2 Manual 0 \n",
"3 Manual 0 \n",
"4 Manual 0 "
],
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" <td>Diesel</td>\n",
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" <td>Diesel</td>\n",
" <td>Dealer</td>\n",
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" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
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" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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" }\n",
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"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-052b8af2-71b4-42b7-b2fb-6b4297747962 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-052b8af2-71b4-42b7-b2fb-6b4297747962');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 56
}
]
},
{
"cell_type": "code",
"source": [
"df_num = df4.select_dtypes(exclude='object')\n",
"df_obj = df4.select_dtypes(include='object')"
],
"metadata": {
"id": "kwrakvk46zuT"
},
"execution_count": 57,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df_obj = pd.get_dummies(df_obj, drop_first=True)"
],
"metadata": {
"id": "5pSiMU8v61Mh"
},
"execution_count": 58,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Final_df = pd.concat([df_num, df_obj], axis=1)"
],
"metadata": {
"id": "97I9AU5I62gX"
},
"execution_count": 59,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Cars = Final_df"
],
"metadata": {
"id": "zlGxbqUJ633E"
},
"execution_count": 60,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Cars.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "goi0MDCr65UB",
"outputId": "e74afd4d-967d-44bd-9579-4dfb51c0d967"
},
"execution_count": 61,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Age Selling_Price Present_Price Kms_Driven Owner Fuel_Type_Diesel \\\n",
"0 5 3.35 5.59 27000 0 0 \n",
"1 6 4.75 9.54 43000 0 1 \n",
"2 2 7.25 9.85 6900 0 0 \n",
"3 8 2.85 4.15 5200 0 0 \n",
"4 5 4.60 6.87 42450 0 1 \n",
"\n",
" Fuel_Type_Petrol Seller_Type_Individual Transmission_Manual \n",
"0 1 0 1 \n",
"1 0 0 1 \n",
"2 1 0 1 \n",
"3 1 0 1 \n",
"4 0 0 1 "
],
"text/html": [
"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Age</th>\n",
" <th>Selling_Price</th>\n",
" <th>Present_Price</th>\n",
" <th>Kms_Driven</th>\n",
" <th>Owner</th>\n",
" <th>Fuel_Type_Diesel</th>\n",
" <th>Fuel_Type_Petrol</th>\n",
" <th>Seller_Type_Individual</th>\n",
" <th>Transmission_Manual</th>\n",
" </tr>\n",
" </thead>\n",
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" <th>0</th>\n",
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" <th>1</th>\n",
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" <td>4.75</td>\n",
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" <th>2</th>\n",
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" <td>9.85</td>\n",
" <td>6900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>2.85</td>\n",
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" <td>5200</td>\n",
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" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>4.60</td>\n",
" <td>6.87</td>\n",
" <td>42450</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
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"</table>\n",
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"\n",
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" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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"\n",
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" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-144fa307-84fe-4607-b349-811504672a7f button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-144fa307-84fe-4607-b349-811504672a7f');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
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" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 61
}
]
},
{
"cell_type": "code",
"source": [
"def p(x,y):\n",
" sns.pairplot(Cars, x_vars=[x,y], y_vars='Selling_Price',size=4, aspect=1, kind='reg')\n",
" plt.show()\n",
"\n",
"p('Age', 'Present_Price')\n",
"p('Kms_Driven', 'Owner')\n",
"p('Fuel_Type_Diesel', 'Fuel_Type_Petrol')\n",
"p('Seller_Type_Individual', 'Transmission_Manual')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "GQpBk7GT7BQv",
"outputId": "4d9db3e0-99cb-4f39-8faf-8cf0d836a10a"
},
"execution_count": 62,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
" warnings.warn(msg, UserWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x288 with 2 Axes>"
],
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\n"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
" warnings.warn(msg, UserWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x288 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
" warnings.warn(msg, UserWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x288 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
" warnings.warn(msg, UserWarning)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x288 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"plt.subplots(figsize=(8, 6))\n",
"corr = Cars.corr()\n",
"mask = np.triu(np.ones_like(corr, dtype=bool))\n",
"cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
"sns.heatmap(corr, mask=mask, annot=True, cmap=cmap)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 488
},
"id": "SWvPKHBg7E4x",
"outputId": "39d63ea5-6f1b-43b1-eb37-69b43fcbbd61"
},
"execution_count": 63,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x432 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"Cars.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YsPtNCmo7GWd",
"outputId": "aab09e59-642d-4f95-d4d5-8ae6674c3525"
},
"execution_count": 64,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(299, 9)"
]
},
"metadata": {},
"execution_count": 64
}
]
},
{
"cell_type": "code",
"source": [
"X = Cars.drop('Selling_Price', axis=1)\n",
"y = Cars['Selling_Price'].values.reshape(-1,1)"
],
"metadata": {
"id": "DRFTxSSI7H-V"
},
"execution_count": 65,
"outputs": []
},
{
"cell_type": "code",
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state=0)"
],
"metadata": {
"id": "mFzlVkb57KA8"
},
"execution_count": 66,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#Calling the Linear Regression Algorithm\n",
"model = LinearRegression()"
],
"metadata": {
"id": "v_QZzRbN7LuL"
},
"execution_count": 67,
"outputs": []
},
{
"cell_type": "code",
"source": [
"model.fit(X_train, y_train)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_6xYOXJn7NRe",
"outputId": "1c4e5d2a-825d-40f7-b03f-c3827c03ce19"
},
"execution_count": 68,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"LinearRegression()"
]
},
"metadata": {},
"execution_count": 68
}
]
},
{
"cell_type": "code",
"source": [
"result = model.score(X_test, y_test)\n",
"print('Score:', result)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "P-z_xzwM7PE7",
"outputId": "f7ccf38a-6970-4e6d-93ba-e1b6fff427be"
},
"execution_count": 69,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Score: 0.808962622885778\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# K Fold Improve Model"
],
"metadata": {
"id": "fridvzO87oBP"
}
},
{
"cell_type": "code",
"source": [
"from sklearn.model_selection import KFold\n",
"from sklearn.model_selection import cross_val_score"
],
"metadata": {
"id": "5uJDQRHq7q15"
},
"execution_count": 86,
"outputs": []
},
{
"cell_type": "code",
"source": [
"model_new = LinearRegression()\n",
"kfold_validation = KFold(8, shuffle=True, random_state=0)\n",
"results = cross_val_score (model_new, X, y, cv=kfold_validation)"
],
"metadata": {
"id": "OineJzAv7sSM"
},
"execution_count": 97,
"outputs": []
},
{
"cell_type": "code",
"source": [
"X_ = X[X.index<180]\n",
"X__ = X[X.index>210]"
],
"metadata": {
"id": "vh30vEv07uJB"
},
"execution_count": 98,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#Joining X_ & X__\n",
"X_f = pd.concat([X_, X__], axis=0)\n",
"X_f.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "v-_lvVUY7vjB",
"outputId": "57969543-278d-45e2-ae1e-5018fffb2d02"
},
"execution_count": 99,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(268, 13)"
]
},
"metadata": {},
"execution_count": 99
}
]
},
{
"cell_type": "code",
"source": [
"y_ = y[y.index<180]\n",
"y__ = y[y.index>210]"
],
"metadata": {
"id": "4budyZIB9ygo"
},
"execution_count": 100,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#Joining y_ & y__\n",
"y_f = pd.concat([y_, y__], axis=0)\n",
"y_f.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YUHOkhfQ90MO",
"outputId": "944daf8a-4f8f-4b8a-aacd-35d01d115b77"
},
"execution_count": 101,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(268,)"
]
},
"metadata": {},
"execution_count": 101
}
]
},
{
"cell_type": "code",
"source": [
"y_f = y_f.values.reshape(-1,1)\n",
"y_f.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "b78wLIFW918b",
"outputId": "d4929554-a8a5-41ae-d8f5-ed9378bd3c60"
},
"execution_count": 102,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(268, 1)"
]
},
"metadata": {},
"execution_count": 102
}
]
},
{
"cell_type": "code",
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X_f, y_f, test_size = 0.25, random_state=0)"
],
"metadata": {
"id": "P3b_w7W893kw"
},
"execution_count": 103,
"outputs": []
},
{
"cell_type": "code",
"source": [
"regressor = LinearRegression()\n",
"regressor.fit(X_train, y_train)\n",
"y_pred = regressor.predict(X_test)"
],
"metadata": {
"id": "pYF4gBF295Dj"
},
"execution_count": 104,
"outputs": []
},
{
"cell_type": "code",
"source": [
"print (\"MAE:\", metrics.mean_absolute_error (y_test, y_pred))\n",
"print (\"MSE:\", metrics.mean_squared_error (y_test, y_pred))\n",
"print (\"RMSE:\", np.sqrt(metrics.mean_squared_error (y_test, y_pred)))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-p6hniNl961_",
"outputId": "2c432d23-454c-49d9-f4c5-2225d44ad772"
},
"execution_count": 105,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"MAE: 0.6400534405439527\n",
"MSE: 0.8129471293557586\n",
"RMSE: 0.9016358074942225\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print (\"R2 Score (K-Fold(10)):\", metrics.r2_score (y_test, y_pred))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RIO70J4098ok",
"outputId": "195f9964-5e4d-46ac-aeb4-f024814aebef"
},
"execution_count": 106,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"R2 Score (K-Fold(10)): 0.9648705983974117\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Transformation Improve model"
],
"metadata": {
"id": "la99ISbg8J47"
}
},
{
"cell_type": "code",
"source": [
"Age2 = Cars.Age**2"
],
"metadata": {
"id": "MHwen9SM8JEQ"
},
"execution_count": 73,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Age_Kms_Driven = Cars.Age * Cars.Kms_Driven"
],
"metadata": {
"id": "okRH8vD18OFi"
},
"execution_count": 74,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Age_Owner = Cars.Age * Cars.Owner"
],
"metadata": {
"id": "IWVuFAcB8oB9"
},
"execution_count": 75,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Present_Price_Age = Cars.Present_Price * Cars.Age"
],
"metadata": {
"id": "ca67ImBs8sZc"
},
"execution_count": 76,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Present_Price_Age2 = Cars.Present_Price * Age2"
],
"metadata": {
"id": "pD3cKdHm8uwn"
},
"execution_count": 77,
"outputs": []
},
{
"cell_type": "code",
"source": [
"Age2_Kms_Driven = Age2 * Cars.Kms_Driven"
],
"metadata": {
"id": "JNH8gH-O8wEe"
},
"execution_count": 78,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Adding interactions between the Features to the dataset\n",
"Cars.insert(5, 'Present_Price_Age', Present_Price_Age)\n",
"Cars.insert(2, 'Age_Kms_Driven', Age_Kms_Driven)\n",
"Cars.insert(3, 'Age_Owner', Age_Owner)\n",
"Cars.insert(10, 'Present_Price_Age2', Present_Price_Age2)\n",
"Cars.insert(11, 'Age2_Kms_Driven', Age2_Kms_Driven)"
],
"metadata": {
"id": "k7XQoB3K8xmj"
},
"execution_count": 79,
"outputs": []
},
{
"cell_type": "code",
"source": [
"X = Cars.drop('Selling_Price', axis=1)\n",
"y = Cars['Selling_Price']"
],
"metadata": {
"id": "dSaUl5iL8zRM"
},
"execution_count": 80,
"outputs": []
},
{
"cell_type": "code",
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state=0)"
],
"metadata": {
"id": "le3A3GL980-m"
},
"execution_count": 81,
"outputs": []
},
{
"cell_type": "code",
"source": [
"regressor = LinearRegression()\n",
"regressor.fit(X_train, y_train)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "daLhtEnU83hA",
"outputId": "d35dd7c1-c802-4d03-cc00-eb51fc751c07"
},
"execution_count": 82,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"LinearRegression()"
]
},
"metadata": {},
"execution_count": 82
}
]
},
{
"cell_type": "code",
"source": [
"y_pred = regressor.predict(X_test)"
],
"metadata": {
"id": "nDuNlDKA86gV"
},
"execution_count": 83,
"outputs": []
},
{
"cell_type": "code",
"source": [
"print (\"Improved model R2 Score:\", regressor.score (X_train, y_train)) "
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ON3pjmD688ZB",
"outputId": "c99d2473-c766-4657-c041-aeee1fab3ab3"
},
"execution_count": 84,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Improved model R2 Score: 0.976819414009307\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print (\"Improved model R2 Score:\", metrics.r2_score (y_test, y_pred)) "
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "zBd35NVK8-Ha",
"outputId": "b43adc91-02cd-42e1-bd4b-85153556553a"
},
"execution_count": 85,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Improved model R2 Score: 0.9650982426361686\n"
]
}
]
}
]
}