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retail-data-analysis

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🛒🛒E-commerce platforms use🛒 product recommendations🛒 to enhance customer experience and increase sales. This project leverages CatBoost, a powerful gradient boosting algorithm, to build a product recommendation system that predicts which customers are likely to be interested in product recommendations based on their purchase behavior.🛒🛒

  • Updated Feb 5, 2026
  • Jupyter Notebook

This project contains a comprehensive dataset and analysis report for Urban Store’s annual sales performance. It explores customer demographics, order trends, and sales insights through multiple analytical sheets.

  • Updated Dec 28, 2025

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