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.
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ArcKansupada/UTDSoccerPlayerAnalysis
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ml models I used for my UTD summer research
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