The aim of the ML model is to predict the car prices

Steps -

1. Making the dataframe from the csv file.
2. Data cleaning + EDA
3. Feature engg
4. Training the LinearRegession model with 3 different test data - 1. One hot encoding on selected variables, 2. Label encoding, 3. One hot enoding of the data set
5. Evaluating the model performace via R2 scores