Predicting Survival of Patients with Sepsis Episodes Using Statistical Modelling in PythonThis project aims to predict hospital outcome (alive or dead) for patients diagnosed with Sepsis, using machine learning models. The prediction is based on three easily available features of hospitalized patients, i.e., sex, age and septic episode number.