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RFM (Recency, Frequency, Monetary) analysis and customer segmentation with K-means and DBSCAN.

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RFM-Customer-Segmentation

In this project, I implemented RFM (Recency, Frequency, Monetary) analysis using clustering algorithms including K-means and DBSCAN to segment customers based on their purchasing behavior. I utilized Python and popular libraries such as pandas, scikit-learn, and matplotlib for data preprocessing, clustering, and visualization.

Dataset source: https://www.kaggle.com/datasets/carrie1/ecommerce-data

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RFM (Recency, Frequency, Monetary) analysis and customer segmentation with K-means and DBSCAN.

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