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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.
Convert your pgn db to JSON (works with variations, each move has FEN code of position). Group (merge) games in PGN db by player name (white or black) or your own rules.
A chess .pgn parser, .pgn extractor, adding a chess opening book with data visualization and web scraper. Separating projects from a private repo of mine.
Aids in unzipping files in '.pgn.zst' format. The unzipped files are in .pgn format. Works on databases from lichess.org, chess.com and many others. Max file size: 1gb.