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segmentation-logic

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nkongdem / Customer-Segmentation-Using-RFM-Analysis

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Customer segmentation using RFM analysis on the UCI Online Retail dataset. Customers are scored by Recency, Frequency, and Monetary value, then grouped with clustering techniques. The project applies feature engineering, analytics, and visualization using Python, Pandas, Matplotlib, Seaborn, and Scikit-learn to generate marketing insights.

rfm-analysis customer-analytics segmentation-logic
  • Updated Feb 12, 2026
  • Jupyter Notebook

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