Machine Learning with Python Cookbook, 2nd Edition

eBook Details:

• Paperback: 410 pages
• Publisher: WOW! eBook; 2nd edition (September 12, 2023)
• Language: English
• ISBN-10: 1098135725
• ISBN-13: 978-1098135720

eBook Description:

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition

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.

You’ll find recipes for:

• Vectors, matrices, and arrays
• Working with data from CSV, JSON, SQL, databases, cloud storage, and other sources
• Handling numerical and categorical data, text, images, and dates and times
• Dimensionality reduction using feature extraction or feature selection
• Model evaluation and selection
• Linear and logical regression, trees and forests, and k-nearest neighbors
• Support vector machines (SVM), naive Bayes, clustering, and tree-based models
• Saving and loading trained models from multiple frameworks

Each recipe in this updated Machine Learning with Python Cookbook, 2nd Edition includes code that you can copy, paste, and run with a toy dataset to ensure 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. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.