This project predict the price of the car against the attributes of car using scikit-learn library of Python
The following algorithms are implemented on the dataset.
- Linear Regression with RMSE of 2857.69
- Decision Tree Regression with RMSE of 2816.229
- Random Forest Regressor with RMSE of 2221.33
- SVR with RMSE of 2221.33
Random Forest Regressor and SVR works better than the rest of the model after Fine tuning the model usinf Grid Search CV and Randomized Search CV
- RMSE of Random Forest Regressor was 1700.82
- RMSE of SVR was 3478.193
Random Forest Regressor is the best working model on the given dataset with the RMSE OF 1700.82