E-commerce Customer Segmentation with K-Means Clustering

This project focuses on customer segmentation for e-commerce businesses using K-Means clustering. The system collects data from online shopping platforms, such as customer age, purchase history, and browsing behavior. Using K-Means, the system groups customers into clusters to identify patterns in purchasing behavior and improve product recommendations, marketing strategies, and customer service.