In this project I will be writing a model to predict the price of used cars using features as Engine Volume, Brand, Year of Manufacture, Engine Type and Body Type
I go through the dataset and clean it, check OLS assumptions, relax some of them, create dummies, perform feature scaling and finally fit a regression model to the data. Finally, I evaluate it's performance.
