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numerical-operations

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Abdullah321Umar / ElevvoPathways-DataAnalytics_Internship-TASK2

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🔷 Customer Segmentation Using RFM Analysis 🔷 This project applies RFM (Recency, Frequency, Monetary) analysis to segment customers based on their purchasing behavior. Using Python (Pandas, Seaborn, Matplotlib), we calculated RFM scores and grouped customers into segments like Champions, Loyal, At Risk, and Hibernating.

frequency plots numpy data-transformation seaborn matplotlib monetary data-cleaning data-handling comparative-analysis correlation-analysis recency descriptive-analysis visualization-libraries segmentation-analysis data-importing preprocessing-skills feature-engineering-skills rfm-calculation numerical-operations
  • Updated Sep 22, 2025
  • Jupyter Notebook

Shreyanshp0 / ElevvoPathways-DataAnalytics_Internship-TASK2

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📊 Analyze customer behavior with RFM segmentation to drive targeted marketing strategies and boost retention in retail and e-commerce.

plots numpy data-transformation seaborn matplotlib monetary data-handling comparative-analysis correlation-analysis recency descriptive-analysis visualization-libraries segmentation-analysis data-importing preprocessing-skills feature-engineering-skills rfm-calculation numerical-operations
  • Updated Oct 23, 2025
  • Jupyter Notebook

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