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footbal-analysis

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This project provides an in-depth analysis of FIFA World Cup data using Python. It covers key aspects of the matches history, performance trends, and standout insights. Whether you're a football enthusiast or a data analytics fan, this project highlights the intersection of sports and data science.

  • Updated Dec 22, 2024
  • Jupyter Notebook

Machine learning solution for predicting team goals and tournament progression in the FIFA World Cup 2026 using historical World Cup data. Built for the Zindi FIFA World Cup 2026 Prediction Challenge.

  • Updated Jun 18, 2026
  • Jupyter Notebook

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