A 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.

The algorithm is written on Jupyter notebook, and zip with the data