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How do John's personal projects leverage deep learning frameworks and data science libraries?
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In his recent personal AI projects, John has been extensively using TensorFlow, PyTorch, Keras, and Scikit-Learn for developing and experimenting with deep learning models. He complements these with data processing libraries like Pandas and NumPy to handle large datasets, enabling efficient model training and evaluation. John Mosquera effectively utilizes these frameworks and libraries to build robust and innovative AI models.