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K-means Clustering (Credit Card User Behavior)

Description: Applied K-means clustering to credit card holder data to identify customer segments based on spending patterns and credit behavior. Project included analysis of 8,636 active credit card holders.

Problem Statement: Required to segment customers effectively based on credit card usage patterns while identifying meaningful customer groups.

Outcome: Successfully identified distinct customer segments with clear characteristics and behavioral patterns.

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