applied ml
House Price Prediction
End-to-end ML pipeline on the Kaggle House Prices dataset: supervised regression, clustering, and SHAP interpretability.
about
Ridge, RandomForest, XGBoost, LightGBM, and SVM for regression; KMeans, DBSCAN, and PCA for unsupervised structure; SHAP for interpretability. Packaged with a Streamlit app and Docker for reproducibility.
stack
- XGBoost
- LightGBM
- scikit-learn
- SHAP
- Streamlit
- Docker