Tennis Data Storytelling Challenge | by Nikita Taparia | The Tennis Notebook | Medium
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
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.
Research – Heavy Topspin
Tennis Abstract – Heavy Topspin
Is Fatigue a Factor Tennis in Tennis? – sportsbrain
Tennis Note #32. Neutral Points & Point Enders: The… | by Nikita Taparia | The Tennis Notebook | Medium
GitHub - ben196888/tennis-score: a tennis score system
RPubs - Data Cleaning
ATP Tennis Cluster Analysis. Using cluster analysis to segment… | by Derek Austin | Towards Data Science
Tennis Data Storytelling Challenge | by Nikita Taparia | The Tennis Notebook | Medium
Tennis Note # 13. The Drop Shot: Is it Worth Using in… | by Isaac Samuel Victor Brute | The Tennis Notebook | Medium
Tennis Abstract – Heavy Topspin
Little Data, Big Potential – Heavy Topspin
Tennis Abstract: ATP and WTA Match Results, Splits, and Analysis
Sports Viz Sundays 2018 | Monthly Sports Viz Sunday July - Tennis discussion | data.world
The Tennis 128: No. 120, Kei Nishikori – Heavy Topspin
Research – Heavy Topspin
GitHub - Bomada/tennis-blog: Data extraction and modelling for the tennis blog
Tennis Abstract – Heavy Topspin
Women Are Being Left Behind by the Sports Data Revolution - How We Get To Next
Sensors | Free Full-Text | Estimating Player Positions from Padel High-Angle Videos: Accuracy Comparison of Recent Computer Vision Methods
GitHub - JeffSackmann/tennis_atp: ATP Tennis Rankings, Results, and Stats
Tennis Note #32. Neutral Points & Point Enders: The… | by Nikita Taparia | The Tennis Notebook | Medium
Hotshots - by Ben Wylie - Plot the Ball
Grand Slam Legends |> Table Contest - tables - Posit Community
