Customer Segmentation in Health Insurance using K-Means

This project applies K-Means clustering to segment health insurance customers based on factors like claim history, health status, and premium payment patterns. By clustering customers, health insurance companies can better understand their customers’ needs and offer more personalized plans, resulting in improved customer satisfaction and retention.