#predictive-modeling

Explainable machine learning workflows for clinical risk prediction using healthcare data, ensemble models, validation techniques, and interpretable AI methods in Python.

Interactive Bayesian probability forecasting dashboard with dynamic S-curve modeling to evaluate real-world scenarios.