Customer segmentation using machine learning

HIGHLIGHTS

  • What: This study explores customer segmentation techniques applied to credit card holders utilizing a rich dataset comprising demographic transactional and behavioral information. Through this comprehensive analysis, the authors aim to uncover the underlying trends and preferences among credit card holders, ultimately guiding financial institutions in crafting more effective marketing strategies and personalized service offerings. This project seeks to address this gap by employing advanced segmentation techniques to categorize credit card users based on their behaviors, spending patterns, and demographics. Significance of the Current Study: This study fills identified gaps by applying advanced segmentation techniques to offer a . . .

     

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