/Retail_Customer_Segmentation_Recommendation_System

Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means clustering. Implementing a personalized recommendation system to enhance marketing strategies and boost sales.

Primary LanguageJupyter NotebookMIT LicenseMIT

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