The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.
data-science machine-learning scikit-learn cross-validation python-programming neural-networks supervised-learning data-preprocessing decision-trees feature-engineering unsupervised-learning model-evaluation clustering-methods random-forests classification-algorithms regression-techniques
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Updated
Jan 12, 2025 - Jupyter Notebook