Heart Failure Data Clustering
Created a K-Means clustering model using Python to separate
data records into meaningful clusters (groups) and find
relationships between patients with a high risk of heart
failure. Preprocessing and Principal Component Analysis
implemented to reduce dimensionality for clearer
interpretation.
Mahyar
Tajeri