This project aims to perform customer segmentation to identify distinct groups of customers based on their purchasing behavior. By dividing customers into segments, businesses can tailor marketing strategies, improve customer engagement, and optimize product offerings for each group. The project utilizes the K-Means clustering algorithm and various data visualization techniques to achieve these goals.
anu-gtb/customer_segmentation
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