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ski-learn

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Cleaned and analyzed Uber request data by handling nulls, extracting features like request hour, weekday, and trip duration. Visualized demand patterns, driver availability, and cancellation rates. Applied KMeans (k=5) to cluster NYC pickup points into 5 regions, revealing key spatial and temporal insights.

  • Updated Jul 18, 2025
  • Jupyter Notebook

End-to-end retail sales data analysis with machine learning model to predict item sales and extract key business insights.

  • Updated Aug 10, 2025
  • Jupyter Notebook

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