Using 10,000 chess games and 8,40,289 board positions, machine learning techniques like multi-variate Linear Regression and Naive Bayes classification are implemented to predict game outcomes as well as develop relationships between different parameters of game-play.
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Using 10,000 chess games and 8,40,289 board positions, machine learning techniques like multi-variate Linear Regression and Naive Bayes classification are implemented to predict game outcomes as well as develop relationships between different parameters of game-play.
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paras-lehana/chess-stats-ml
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Using 10,000 chess games and 8,40,289 board positions, machine learning techniques like multi-variate Linear Regression and Naive Bayes classification are implemented to predict game outcomes as well as develop relationships between different parameters of game-play.
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