Book Name: Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Author: Chris Albon
Publisher: O’Reilly Media
ISBN-10: 1491989386
Year: 2018
Pages: 366
Language: English
File size: 4.59 MB
File format: PDF
This practical guide provides almost 200 self-contained recipes that will assist you resolve machine learning difficulties you will encounter in your everyday work. If you are familiar with Python and its own libraries, such as pandas and scikit-learn, then you are going to have the ability to address certain issues like loading information, managing numerical or text data, model choice, and dimensionality reduction and a number of other topics.
Each recipe contains code which you can copy and paste into a toy dataset to make sure it really works. From that point, you can add, mix, or adapt the code to help assemble your own application. Recipes also incorporate a discussion that clarifies the solution and offers meaningful context. This cookbook takes you beyond theory and theories by offering the nuts and bolts that you want to build working machine learning applications.
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