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Customer Segmentation via Machine Learning by deepakachu5114 is a document available to read on EtoBox.

What is Customer Segmentation via Machine Learning about?

The document discusses using machine learning and RFM analysis techniques to predict customer churn. RFM analysis involves quantifying customers based on recency, frequency, and monetary value of purchases. The study aims to address limitations of RFM by incorporating additional variables and predictive modeling. K-means and DBSCAN clustering are applied to segment customers into distinct groups for targeted marketing.

Author

deepakachu5114

Language

EN