multiple-features-linear-regression-models
PublicA predictive model for the association of tennis professional players with the use of various features such as player statistics, past performance, and physical attributes to predict the likelihood of a player's success in future matches and tournaments. This machine learning used the linear regression analysis to make its predictions.
Creat：2022-10-29T18:35:35
Update：2023-02-01T23:48:56
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