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

Summary


In this chapter, we introduced the data science/machine learning workflow. We saw how to take our data step by step through each stage of the pipeline, going from acquisition all the way through to deployment. We also covered key features of each of the most important libraries in the Python scientific stack.

We will now take this knowledge and these lessons and begin to apply them to create unique and useful machine learning applications. In the next chapter, we'll see how we can apply regression modeling to find a cheap apartment. Let's get started!