GitHub - LexiRoemer/TripleTen_FilmJunkyUnion_Review_Classification: A project finished 04-21-2026 as part of the TripleTen Data Science program using real-world data and mimicking real-world project requirements. Task was to train a machine learning model to classify IMDB film reviews as positive or negative. The best F1 score achieved was 0.88.

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A project finished 04-21-2026 as part of the TripleTen Data Science program using real-world data and mimicking real-world project requirements. Task was to train a machine learning model to classify IMDB film reviews as positive or negative. The best F1 score achieved was 0.88.