Health Insurance Premium Prediction

• Deployed App: https://ml-based-premium-prediction-v1.streamlit.app/
• App Code: https://github.com/Lua-Matlab-Python-R-J2EE/ml-based-premium-prediction
• Tech: Python | Scikit-learn | XGBoost | Streamlit
• 50K synthetic records using a dual-model strategy
• Reduced prediction error by 90%+ through age-based segmentation
• Production-ready Streamlit app with CI/CD deployment
• End-to-end ML pipeline from EDA to model deployment
• Feature engineering using Variance Inflation Factor (VIF) analysis to address multicollinearity
• Version 2 in progress: improved evaluation rigor, stricter validation boundaries, expanded testing, and enhanced maintainability

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