Customer Segmentation for Airlines using K-Means Clustering

This project segments airline customers based on factors such as flight frequency, ticket class, and spending patterns. By using K-Means clustering, airlines can identify key customer groups, offering personalized services, discounts, and loyalty rewards to improve customer satisfaction and increase sales.