An end-to-end machine learning project that predicts the risk of heart attack using clinical patient data. This project focuses on building a reliable, interpretable, and healthcare-aware ML pipeline, with special emphasis on minimizing false negatives. This repository contains my individual contribution (KNN implementation) for the group project.