This project uses machine learning (Logistic Regression and Random Forest) to predict high-risk disease outbreak locations across Philippine regions based on historical case counts and morbidity weeks, supporting public health resource allocation.
machine-learningailogistic-regressionpredictive-modelingrandom-forest-classifierdisease-outbreak-predictionlocal-project
-
Updated
Jun 23, 2026 - Jupyter Notebook