The goal of this project was to learn about the strengths, weaknesses, and applications of several popular supervised machine learning models. We hypothesized their performance predicting Heart Disease on a large dataset of health related metrics, trained each model on the same data, and analyzed their performance.
Supervised ML: Model Comparison
