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Pragmatic Machine Learning

Machine learning is changing the world. 

But it's always been hard to learn machine learning... until now.

Pragmatic Machine Learning is a step-by-step guide that will teach you machine learning fundamentals through building 9 real-world projects.

You'll learn:

  • Linear regression
  • Logistic regression
  • K-Nearest Neighbors
  • Decision Trees and Random Forests
  • Support Vector Machines
  • K-Means Clustering
  • Principal Component Analysis
  • Recommender Systems
  • Natural Language Processing

This book uses Python and scikit-learn.

Book Sample

Here's a sample from the book. No email address necessary.

Is this book good for a beginner dipping the toes into machine learning?


The first part of this book is very high level. It introduces you to the big ideas in machine learning before you write your first line of code.

The second part is more technical, and written for developers who want to build and train machine learning models from scratch.

What's the refund policy?

If what you see is not what you expected, just reply to the download email within 30 days, and you'll get a full refund. No questions asked.

Can I share this book with my team?

This version is for individual use only. Email me at nick@nickmccullum.com if you'd like to discuss a team license.

  • You'll get...
  • Size5.41 MB
  • Length194 pages
  • The eBook
  • Full access to the Git repository
  • 9 projects to put on your GitHub or website


Pragmatic Machine Learning

Enter your info to complete your purchase of eBook + Git repository (recommended)


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You'll be charged US$89.

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