Scikit-Learn Cookbook by Trent Hauck2014 | ISBN: 1783989483 | English | 214 pages | EPUB | 3 MB
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation
About This Book
Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For
If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.
What You Will Learn
Address algorithms of various levels of complexity and learn how to analyze data at the same time
Handle common data problems such as feature extraction and missing data
Understand how to evaluate your models against themselves and any other model
Discover just enough math needed to learn how to think about the connections between various algorithms
Customize the machine learning algorithm to fit your problem, and learn how to modify it when the situation calls for it
Incorporate other packages from the Python ecosystem to munge and visualize your dataset
Title: ScikitLearn Cookbook
Size: 3.13 MB | Format: rar
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