Propensity model training with XGBoost
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Updated
Sep 10, 2024 - Python
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propensity-modeling
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This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.
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Updated
Aug 17, 2025 - HTML
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