This repo reminds us a bit of Exploratory Data Analysis and more so creating regression models (Both Decision trees and Random Forest) in order to be able to predict the Price of cars and also the factors that influence this price the most.
There are four parts Part one EDA Part two Building a regression model Part three Making Predictions using Decision trees Part four Random Forest
I hope you enjoy and have fun learning