This project explores the realm of heart failure prediction using a feature-centric analysis approach. Leveraging advanced techniques in dimensionality reduction and clustering, we dive deep into the UCI Cleveland heart failure dataset to uncover essential patterns and significant predictors.
This project explores the realm of heart failure prediction using a feature-centric analysis approach. Leveraging advanced techniques in dimensionality reduction and clustering, we dive deep into the UCI Cleveland heart failure dataset to uncover essential patterns and significant predictors.