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Can I read Machine Learning with Python Cookbook, 2nd Edition on EtoBox?
Machine Learning with Python Cookbook, 2nd Edition by Kyle Gallatin; Chris Albon is a computer science book available to read on EtoBox.
What is Machine Learning with Python Cookbook, 2nd Edition about?
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 all the way 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 it works. From there, you can
Who reads Machine Learning with Python Cookbook, 2nd Edition?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Kyle Gallatin; Chris Albon
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2023
- Language
- EN
- ISBN
- 9781098135720
- Category
- computer science
- Subjects
- Science, Language Learning, Programming
- Updated
- 2026-03-25
Other editions & translations
- Machine Learning with Python Cookbook, 2nd Edition: Practical Solutions from Preprocessing to Deep Learning (2023)
- MACHINE LEARNING WITH PYTHON COOKBOOK : practical solutions from preprocessing to deep learning (2022)
- MACHINE LEARNING WITH PYTHON COOKBOOK : practical solutions from preprocessing to deep learning (2023)
- Machine Learning with Python Cookbook, 2nd Edition (Fifth Early Release) (2022)
- Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (2023)
- Machine Learning with Python Cookbook, 2nd Edition (Second Early Release) (2022)
- Machine Learning with Python Cookbook, 2nd Edition (Final Release) (2023)
- Машинное обучение с использованием Python. Сборник рецептов (2024)
- Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning [Team-IRA] (2023)