Machine learning libraries are collections of pre-written code and tools designed to simplify the implementation of machine learning algorithms. They provide reusable components for tasks like data preprocessing, model training, evaluation, and deployment, enabling developers to build machine learning models more efficiently. Common use includes classification, regression, clustering, and dimensionality reduction.
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