Prim22/dparesearch

Machine learning-based predictive analysis of climate-related disasters in Africa. Combines EM-DAT, World Bank, and NOAA data to model trends using regression and ML algorithms, evaluate performance with MAE, and simulate country-level disaster risk via Monte Carlo methods to support data-driven policy decisions. # dparesearch Machine learning-based predictive analysis of climate-related disasters in Africa. Combines EM-DAT, World Bank, and NOAA data to model trends using regression and ML algorithms, evaluate performance with MAE, and simulate country-level disaster risk via Monte Carlo methods to support data-driven policy decisions.