Machine Learning with Python Cookbook

Practical Solutions from Preprocessing to Deep Learning



Bookstore > Books > Machine Learning with Python Cookbook

Price$39.60 - $58.19
Rating
AuthorChris Albon
PublisherO'Reilly Media
Published2018
Pages366
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101491989386
ISBN-139781491989388
EBook Hardcover Paperback

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.

Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.

Vectors, matrices, and arrays; 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 neural networks; Saving and loading trained models.





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