Customer Segmentation for Subscription Services using K-Means

This project uses K-Means clustering to segment customers of subscription-based services, such as streaming platforms or subscription box services. By analyzing customer data such as subscription length, frequency of use, and content preferences, the system groups customers into clusters. These clusters are used to personalize content recommendations, optimize subscription pricing, and reduce churn.