ML • Regression
California Housing Price Prediction
Built a regression pipeline to predict housing prices using structured features, with preprocessing and evaluation.
Problem: Predict housing prices from features.
Approach: EDA → preprocessing → baseline model → evaluation.
Deliverables: Reproducible repo + clean notebook + results.
Tech Stack
Python, Pandas, NumPy, scikit-learn
Next Improvements
- Hyperparameter tuning
- Feature engineering
- Explainability (SHAP)