Repository dedicated to notebooks concerning soccer analytics
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Updated
Aug 28, 2018 - Jupyter Notebook
Repository dedicated to notebooks concerning soccer analytics
Jupyter notebooks about politics, sports...
Notebooks developed during the Data Science applied to Soccer at UFMG.
The written report and jupyter notebook (HTML format) for the investigate a data set project. The selected database is the European Soccer Database hosted on Kaggle.
ML-Premier-League-Wins-Predictor is my first machine learning project that predicts the number of wins for each team in the Premier League using linear regression. Explore the key factors that contribute to becoming a champion in one of the world's most competitive football leagues. Jupyter Notebook and code included.
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