Skip to content

vc77/Predicting-How-Points-End-in-Tennis

 
 

Repository files navigation

Predicting-How-Points-End-in-Tennis

CrowdANALYTIX's Data Science Competition

Predicting How Points End in Tennis was a competition hosted on CrowdAnalytix. This was also my first data science competition, so I spent a lot of time learning and exploring different algorithms to get a feel about how each algorithm worked. The goal of the compeittion was to predict how the point ended: winner, unforced error, or forced error. The model I settled on was XGBoost, which is the go-to algorithm among Kagglers.

About

CrowdANALYTIX's Data Science Competition

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Jupyter Notebook 52.2%
  • HTML 47.8%