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gitlfs

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A computer vision pipeline built with PyTorch for advanced NBA analytics. The system uses YOLO for player/ball detection, multi-object tracking, and a zero-shot classifier for team affiliation, and court key point detection to create a tactical top-down view and calculate real-world metrics like speed, distance, and passes.

  • Updated Nov 2, 2025
  • Jupyter Notebook

In this project I used Python to merge multiple .csv files containing Citi Bike Trip History logs. After a quick exploration of the data, I imported the merged file into Tableau and analyzed the use of Citi bikes in New York City from April 2017 through May 2018. I created a workbook, which includes visualizations and a short summary of my findi…

  • Updated May 24, 2018
  • Jupyter Notebook

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