Heart Disease Detection and Patient Clustering

This project aims to design and implement a comprehensive Heart Disease Detection and Patient

Clustering System using advanced machine learning techniques. The system's primary objectives include

predicting the likelihood of heart disease, segmenting patients into meaningful clusters based on health

metrics, preprocessing medical data for improved accuracy, and enhancing predictions by incorporating

insights derived from the clustering process