Customer Segmentation for Insurance Companies using K-Means

This project focuses on segmenting insurance customers using K-Means clustering, analyzing factors like policy types, premium amounts, claim history, and customer demographics. By clustering customers into distinct segments, insurance companies can offer more personalized products, optimize pricing strategies, and improve customer service.