#Betting-models
Showing 3 of 3 repositories tagged #betting-models, ranked by stars
martineastwood
penaltyblog
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
Score
100
★ 192
⑂ 23
+1/day
Python
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
Score
50
★ 53
⑂ 12
+1/day
Python
callmevojtko
Recommended-Bets-By-Email-MLB
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
Score
0
★ 30
⑂ 11
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Python