Leveraged Python and clustering techniques to segment credit card users into three distinct spending behavior clusters. This data-driven approach provided valuable insights into customer demographics, spending patterns, and potential risk profiles, enabling informed marketing and risk management strategies.
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Leveraged Python and clustering techniques to segment credit card users into three distinct spending behavior clusters. This data-driven approach provided valuable insights into customer demographics, spending patterns, and potential risk profiles, enabling informed marketing and risk management strategies.
firetiger8/credit-card-clustering
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Leveraged Python and clustering techniques to segment credit card users into three distinct spending behavior clusters. This data-driven approach provided valuable insights into customer demographics, spending patterns, and potential risk profiles, enabling informed marketing and risk management strategies.
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