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This project is a Data Analytics and Business Intelligence pipeline designed to understand e-commerce customer behavior. It takes raw customer transaction data and uses RFM (Recency, Frequency, ...

This series, which began with 541,909 rows of purchase data, has finally reached its final installment. In the first installment, we viewed 4,338 customers as three "clusters" using RFM and K-Means.