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delhivery

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This project focuses on feature engineering and EDA of Delhivery’s logistics dataset. It covers missing value treatment, outlier detection, categorical encoding, normalization and creation of new features. The analysis provides insights into delivery patterns, busiest routes and operational efficiency to support data-driven decision-making.

  • Updated Dec 18, 2025
  • Jupyter Notebook

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