Classification

Machine learning can predict the survival of patients with heart failure from serum creatinine blood levels and heart ejection fraction alone.

This data analysis generates a predictive model that can forecast the agents that may be responsible for unplanned hospital readmissions of people affected by diabetes.

This project aims to understand which distinct conditions and characteristics were to blame for the buildings that sustained the most damage from the massive 2015 Gorkha earthquake in Nepal.