kaladabrio2020/livro-aprendizado-de-maquina-sklearn-keras-tf
Lendo Livro e Aplicando
This resource provides practical code examples, summaries, and exercises that follow the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow." It helps data scientists and machine learning engineers apply theoretical concepts to real-world datasets. You get structured learning content and executable code that illustrates machine learning algorithms and deep learning architectures.
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Use this if you are studying machine learning and deep learning concepts and want hands-on code examples to reinforce your understanding.
Not ideal if you are looking for a complete, production-ready machine learning solution or a quick API reference.
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Jupyter Notebook
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Last pushed
Oct 10, 2025
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