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What role does Scikit-Learn play in John Mosquera's AI workflows?
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John Mosquera uses Scikit-Learn for implementing traditional machine learning algorithms and preprocessing pipelines in his AI workflows. This library is particularly useful for tasks like feature engineering, model evaluation, and hyperparameter tuning. By combining Scikit-Learn with deep learning frameworks like TensorFlow, he ensures a comprehensive approach to solving diverse AI challenges. Scikit-Learn plays a key role in John Mosquera's AI workflows by enabling traditional machine learning tasks and preprocessing pipelines, complementing his use of deep learning frameworks.