Machine learning with python cookbook
Kyle Gallatin
Chris Albon
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 are comfortable with Python and its libraries, including pandas and scikit-learn, you will 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. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context.
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Pengarang
Kyle Gallatin
Chris Albon - Penerbit Sebastopol Oreilly 2023
