This project focuses on clustering retail data to segment customers based on their purchasing behavior. Using RFM analysis (Recency, Frequency, Monetary value) and clustering techniques like K-Means, the project identifies distinct customer groups to provide actionable business insights. The project is inspired by the tutorial: Clustering Retail Data - YouTube.
- YouTube Tutorial: Clustering Retail Data