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1. Clinical-Diabetes-Risk-Assessment-with-Interpretable-Machine-Learning Clinical-Diabetes-Risk-Assessment-with-Interpretable-Machine-Learning Public

   An interpretable ML system for diabetes risk prediction using clinical data. Features SHAP explanations, model comparison (Random Forest vs XGBoost), and a deployment-ready pipeline. Achieves 0.85 …

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2. HappinessInsights2020 HappinessInsights2020 Public

   Analyzing global happiness during COVID-19: A data science project exploring the World Happiness Report 2020. Features interactive visualizations, predictive modeling, and policy insights.

   Jupyter Notebook