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 - 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
![How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium](https://miro.medium.com/max/1400/1*qGMVERr6fipPcQaYMm6w5Q.png)
How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium
![How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium](https://miro.medium.com/max/512/1*IiRp4zUUjS__n8_xe50nIg.png)
How to get up to 48% ROI per bet with betting on tennis matches | by Kevin Tomas | Geek Culture | Medium
![Main studies using machine learning techniques for the prediction of... | Download Scientific Diagram Main studies using machine learning techniques for the prediction of... | Download Scientific Diagram](https://www.researchgate.net/profile/Sascha-Wilkens/publication/338498810/figure/tbl1/AS:938604633288717@1600792191820/Main-studies-using-machine-learning-techniques-for-the-prediction-of-professional-tennis.png)
Main studies using machine learning techniques for the prediction of... | Download Scientific Diagram
![Machine learning in tennis (U.S. Open Men's Singles 2019 Predictions: Who Will Win The Grand Slam? | by Manja Bogicevic | Kagera | Medium Machine learning in tennis (U.S. Open Men's Singles 2019 Predictions: Who Will Win The Grand Slam? | by Manja Bogicevic | Kagera | Medium](https://miro.medium.com/max/1200/1*2IVsgAP3upeUOFJLmw6B5Q.jpeg)