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A collection of hands-on solutions for checkpoints in a machine learning course. Covers core ML concepts such as data preprocessing, model training, and evaluation using Scikit-learn, with practical implementation on various datasets.
ryma-tharouma/Formation_IA
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A collection of hands-on solutions for checkpoints in a machine learning course. Covers core ML concepts such as data preprocessing, model training, and evaluation using Scikit-learn, with practical implementation on various datasets.
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