Customer Segmentation for Credit Card Holders using K-Means

This project applies K-Means clustering to segment credit card holders based on transaction history, payment patterns, and credit utilization. The system identifies distinct groups of customers, such as high spenders, low spenders, and frequent late payers, enabling targeted marketing and customer loyalty programs.