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Research on using markov decision processes in combination with decision tree classifiers to predict outcomes of NFL Football and ATP/WTA Professional Tennis matches and generate descriptive and actionable analytics in the process.

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MartinMashalov/SportsAnalytics

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Sports Analytics and Betting with Supervised Machine Learning

NFL ATP WTA

VERSION: 0.0.6

Project Description

Generate actionable sports and betting analytics using XGBoost Classifiers and Markov-Decision Processes

Included Sports and Competitions:

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Research on using markov decision processes in combination with decision tree classifiers to predict outcomes of NFL Football and ATP/WTA Professional Tennis matches and generate descriptive and actionable analytics in the process.

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