End-to-End ML Pipeline: Housing Price Prediction
Built a full machine learning pipeline to predict home sale prices, including EDA, feature engineering, model training, and evaluation. Achieved R² = 0.85 and persisted the best model for deployment.
Tech: Python · Pandas · scikit-learn · XGBoost · FastAPI · Docker
Approach
- Performed data cleaning and feature engineering on housing attributes.
- Trained and evaluated an XGBoost regression model.
- Deployed the trained model behind a FastAPI inference endpoint.
