Car Price Prediction
The aim of this project is to predict the price of the car, by analyzing the car features such as brand, year, engine, fuel type, transmission, mileage, drive unit, color, and segment. The project also aims to find out the set the of variables that has most impact on the car price.
The dataset has been taken from kaggle. It has 56244 rows and 12 columns.