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TFM, Predicting Handball possessions using Machine Learning

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[TFM] Machine Learning for Handball

This repository contains the code deliverables for the TFM titled Predicting Handball possessions using AI, developed during the academic year 2023/2024 in the Master's in Computational Engineering and Mathematics co-delivered by Universitat Rovira i Virgili and Universitat Oberta de Catalunya.

Note, this repository contains public deliverables only, no dataset is going to be find here due to the accessing rights.

Deliverables

The following deliverables can be found in this repository:

  • The custom python project used to cut game videos into processable possessions, available in video-cutter.
  • The project planning Gantt diagrams, available in here
  • The multiple software packages used for preparing the dataset, feature engineering, experimentation and result analysis done in the project, available in data_prep
  • The used taxonomy of events and actions in Handball, available in taxonomy.

Contact

For any question, regarding the project outcomes, please reach out to

  • Pere Urbon-Bayes
  • purbon (at) uoc.edu

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TFM, Predicting Handball possessions using Machine Learning

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