GitHub - BrandoPolistirolo/Tennis-Betting-ML: Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
GitHub - JeffSackmann/tennis_MatchChartingProject: Raw, user-submitted point-by-point data for pro tennis matches
Topbot - As you all know, Topbot is a two-round event consisting of abstract submission and the final round. You can download the abstract template for both the themes from our website.
![Solving a Tennis Refactoring Challenge in Python using SOLID | by Tomer Gabay | Feb, 2024 | Towards Data Science Solving a Tennis Refactoring Challenge in Python using SOLID | by Tomer Gabay | Feb, 2024 | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*W2PLSc5w6oQFCoDdN49T9g.png)
Solving a Tennis Refactoring Challenge in Python using SOLID | by Tomer Gabay | Feb, 2024 | Towards Data Science
![Tennis Note # 13. The Drop Shot: Is it Worth Using in… | by Isaac Samuel Victor Brute | The Tennis Notebook | Medium Tennis Note # 13. The Drop Shot: Is it Worth Using in… | by Isaac Samuel Victor Brute | The Tennis Notebook | Medium](https://miro.medium.com/v2/resize:fit:1200/1*lJu80-5Z7-RM2u_4oqt1wA.jpeg)