K-Means Clustering for Customer Segmentation in Digital Advertising

This project uses K-Means clustering to segment customers based on their digital advertising interaction history. The system analyzes data such as ad engagement, conversion rates, and browsing behavior to group users. This segmentation helps digital marketers target their advertising more effectively, optimizing ad campaigns to specific customer groups.