Comparative analysis of nonparametric regression methods (KNN, LOWESS, Bin, Kernel, Local Linear) to explore the nonlinear relationship between health expenditure and life expectancy using WHO data (2000–2015).

An end‑to‑end machine learning project that predicts life expectancy from health and socioeconomic indicators using a Random Forest model, deployed as an interactive FastAPI web application.