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What role does Scikit-Learn play in John Mosquera's machine learning workflows, and how does it complement his use of deep learning frameworks?
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Scikit-Learn is essential for traditional machine learning tasks like data preprocessing, feature selection, and model evaluation. John's use of Scikit-Learn alongside deep learning frameworks like TensorFlow and PyTorch indicates a comprehensive approach to machine learning. It allows him to combine classical ML techniques with advanced deep learning models, ensuring he can choose the best tools for each task. This demonstrates his ability to integrate various ML approaches for optimal results. John Mosquera uses Scikit-Learn for traditional ML tasks, complementing deep learning frameworks for comprehensive ML workflows.