Skip to content

ArcKansupada/UTDSoccerPlayerAnalysis

Repository files navigation

The purpose of this research was to find the best method of predicting the transfer value of soccer players. We scrapd data from Fbref and cleaned it to create our training dataset. Each Jupyter notebook is a seperate machine learning model we tested, ranging from Bayesian regression to Decison Trees.

About

ml models I used for my UTD summer research

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published