IsaacCheng9/machine-learning-in-chess
My final year project for the University of Exeter, using machine learning to study patterns in millions of chess games (~350 GB). Ranked 1st in the cohort for undergraduate projects (85%).
This project helps chess players, coaches, and enthusiasts analyze millions of online chess games to discover trends and strategies. It takes large archives of PGN game files and processes them to identify popular openings, predict game outcomes, and cluster similar playing styles. The output provides insights into how people play chess, which can inform strategy development or educational resources.
Use this if you want to understand large-scale patterns in chess gameplay from raw game data to improve your understanding, coaching, or strategic insights.
Not ideal if you're looking for an interactive tool for real-time game analysis or a simple way to review individual game statistics without extensive data processing.
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Last pushed
Mar 12, 2026
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