K-Means Clustering & Real-World AI Applications

This project explores K-Means clustering and AI applications, focusing on customer segmentation using market transaction data. It covers methodologies like PCA and feature engineering for data analysis, explains deriving insights for business strategies, and highlights the practical scalability of AI-enabled solutions for data-driven decision making across industries.