This summary is talking about the Book "Machine Learning With PyTorch and Scikit-Learn".This text is an excerpt from the book "Machine Learning With PyTorch and Scikit-Learn," a guide to machine learning using Python. It covers foundational concepts like supervised and unsupervised learning, explores various algorithms like classification, regression, clustering, and neural networks, and delves into the practical implementation of these concepts using the PyTorch and Scikit-Learn libraries. The excerpt focuses on using Python to perform machine learning tasks, including preparing data for training, evaluating models, and tuning hyperparameters.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Machine-Learning-PyTorch-Scikit-Learn-learning-ebook/dp/B09NW48MR1?&linkCode=ll1&tag=cvthunderx-20&linkId=9dc80b920b61b4b6af3e62078edb5f08&language=en_US&ref_=as_li_ss_tlDiscover our free courses in tech and cybersecurity, Start learning today:https://linktr.ee/cybercode_academy

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