Python Machine Learning Projects

Python Machine Learning Projects

This book of Python projects in machine learning tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.

Publication date: 02 May 2019

ISBN-10: n/a

ISBN-13: 9780999773024

Paperback: 135 pages

Views: 878

Type: Book

Publisher: DigitalOcean

License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Post time: 26 Jul 2020 05:00:00

Python Machine Learning Projects

Python Machine Learning Projects This book of Python projects in machine learning tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.
Tag(s): Machine Learning Python
Publication date: 02 May 2019
ISBN-10: n/a
ISBN-13: 9780999773024
Paperback: 135 pages
Views: 878
Document Type: Book
Publisher: DigitalOcean
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Post time: 26 Jul 2020 05:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International:
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Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click here to read the full license.
From the Introduction:
Lisa Tagliaferri and Brian Boucheron wrote:As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions — sometimes without final input from humans who may be impacted by these findings — it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to help ensure that it is serving us all.

This book will set you up with a Python programming environment if you don’t have one already, then provide you with a conceptual understanding of machine learning in the chapter “An Introduction to Machine Learning.” What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.

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About The Author(s)


Senior Technical Writer @ DigitalOcean. Writes about Kubernetes, Linux, and programming.

Brian Boucheron

Senior Technical Writer @ DigitalOcean. Writes about Kubernetes, Linux, and programming.


Lisa Tagliaferri is Senior Manager of Developer Education at DigitalOcean. She is a Digital Humanities researcher at Villa I Tatti, The Harvard University Center for Italian Renaissance Studies. Previously, she was a Postdoctoral Fellow at MIT. She holds a PhD from the City University of New York (Graduate Center) in Comparative Literature and Renaissance Studies and an MSc in Computer Science from the University of London.

Lisa Tagliaferri

Lisa Tagliaferri is Senior Manager of Developer Education at DigitalOcean. She is a Digital Humanities researcher at Villa I Tatti, The Harvard University Center for Italian Renaissance Studies. Previously, she was a Postdoctoral Fellow at MIT. She holds a PhD from the City University of New York (Graduate Center) in Comparative Literature and Renaissance Studies and an MSc in Computer Science from the University of London.


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