Book Image

Python Machine Learning Blueprints: Intuitive data projects you can relate to

By : Alexander T. Combs
Book Image

Python Machine Learning Blueprints: Intuitive data projects you can relate to

By: Alexander T. Combs

Overview of this book

<p>Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it?</p> <p>Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice.</p> <p>You’ll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment – and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling.</p> <p>That way you’re never left floundering in theory – you’ll be simply collecting and analyzing data in a way that makes a real impact.</p>
Table of Contents (16 chapters)
Python Machine Learning Blueprints
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Setting up your machine learning environment


We've covered a number of libraries throughout this chapter that can be installed individually with pip, Python's package manager. I would strongly urge you, however, to go with a prepacked solution such as Continuum's Anaconda Python distribution. This is a a single executable that contains nearly all the packages and dependencies needed. And because the distribution is targeted to Python scientific stack users, it is essentially a one-and-done solution.

Anaconda also includes a package manager that makes updating packages a simple task. Simply type conda update <package_name>, and the library will be updated to the most recent stable release.