Housing Price Prediction
Built regression-based machine learning models to estimate housing prices using structured datasets. The project focused on feature engineering, model comparison, and interpretability of predictive signals.
Key Insights
- • Feature engineering for housing attributes
- • Regression modeling for price prediction
- • Model evaluation using RMSE and R²
- • Interpreting key drivers of housing value