srinibas-masanta/Customer-Segmentation-using-RFM-Analysis-and-Clustering
End-to-end customer segmentation using RFM analysis and K-Means clustering on real-world retail data. The project includes preprocessing, outlier handling, cluster validation, and visualization to generate actionable business insights. Completed as part of an AI & ML internship with Edunet Foundation under the AICTE–IBM SkillsBuild program.
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Jan 28, 2026
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