This project predicts California housing prices using ML models (Linear Regression, Random Forest, XGBoost, CatBoost, LightGBM). It includes a training script (HousePricePrediction.py) for model building/evaluation and a Streamlit app (app.py) for interactive predictions, with saved models and visualizations.