House Price Prediction
AIM : To predict the final price of each home based on 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.
Skills
- Feature Engineering
- Linear Regression
- Desision Tree
- Random Forest
Models
- Linear Regression
- Random Forest
Final Accuracy
- Root-Mean-Squared-Error (RMSE) - 0.1473
Final Features
