Customer Segmentation using K-Means Clustering

This project uses K-Means clustering to segment customers based on their purchasing behavior. The system collects data on customer demographics and transaction history, and then applies K-Means clustering to divide the customers into distinct segments. These segments can then be analyzed to better understand customer preferences and tailor marketing strategies accordingly.