TheCleverIdiott/Win_Analyser

The objective of this project is to employ machine learning to make real time predictions of scores by using Python. The aim is to make use of linear regression to apply on data frames to get the prediction score as an output.

25
/ 100
Experimental

Implements Random Forest classification on historical English Premier League match data to predict win/loss/draw outcomes, using categorical encoding of venue, opponent, time, and day-of-week features. Processes data with Pandas and scikit-learn via both standalone Python scripts and Jupyter notebooks, with evaluation metrics including precision scoring to assess prediction accuracy.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 11 / 25

How are scores calculated?

Stars

12

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 16, 2024

Commits (30d)

0

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