Regression Exercise in Python
{ “cells”: [ { “cell_type”: “markdown”, “metadata”: {}, “source”: [ “# Linear Regression in Pythonn”, “Use the provided dataset cars.csv to predict used car price based on variables such as Age, KM, etc. The variables are described as below:n”, “1. Model: Model of the carn”, “1. Price: price of the car in dollarsn”, “1. KM: The millage of the car n”, “1. Age_08_04 : age of the car in months as of August 2004n”, “1. Power_steering – whether the car has oower steering (1=Yes and 0=No) n”, “1. Mfg_guarantee – whether the car is within manufacturer’s guarantee period (1=Yes and 0=No)” ] }, { “cell_type”: “markdown”, “metadata”: {}, “source”: [ “## Import needed libraries and set up the enviornment” ] }, { “cell_type”: “code”, “execution_count”: 2, “metadata”: {}, “outputs”: [ { “data”: { “text/html”: [ “

” ], “text/plain”: [ “” ] }, “metadata”: {}, “output_type”: “display_data” } ], “source”: [ “%matplotlib inline n”, “import numpy as npn”, “import pandas as pdn”, “import matplotlib.pyplot as pltn”, “import seaborn as snsn”, “np.set_printoptions(precision=2, suppress=True)n”, “from IPython.core.display import display, HTMLn”, “display(HTML(“

“”))”” ] }