: practical solutions from preprocessing to deep learning Gallatin, Kyle creator Chris Albon text xx Sebastopol c2023 O'Reilly Media 9999 2nd ed. monographic und eng

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xiv, 398 p. ill. 23 cm. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. / Kyle Gallatin Reprint, 2023 index Machine learning; Data mining; Apprentissage automatique 006.31 GAL 9789355424334 240825 20250622151027.0