Python Programming & Machine Learning With Python: 2 Manuscripts in 1 Audiobook By William Sullivan cover art

Python Programming & Machine Learning With Python: 2 Manuscripts in 1

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Python Programming & Machine Learning With Python: 2 Manuscripts in 1

By: William Sullivan
Narrated by: Lawrence Alexander, Lukas Arnold
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About this listen

If your are new to computer programming or want to brush up, then this ultimate guide that combines aspects of machine learning and python programming for beginners and intermediates is for you!

What you'll learn:

  • Python
  • Running your first program
  • Identifiers
  • Variables
  • Data types
  • Codes
  • Linear and polynomial regression
  • Support vector machines
  • Decision trees
  • Random forest
  • KNN algorithm
  • Naive Bayes algorithm
  • Unsupervised learning
  • Clustering
  • Cross validation
  • Grid search
  • And much, much more!

You get so much value in one bundle-packed book! Make the greatest investment in yourself by investing in your knowledge. Download to get started now!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Healthy Pragmatic Solutions Inc (P)2018 Healthy Pragmatic Solutions Inc
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What listeners say about Python Programming & Machine Learning With Python: 2 Manuscripts in 1

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5 stars


Great introduction to machine learning in Python. There is also no easy way to move from different locations in the book quickly

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A highly recommended for ML lovers.

This book is a refreshing departure from the extremely topical approach taken by some other books. It goes beyond memorizing and regurgitating and, instead, focuses on comprehension- therefore enabling the reader to truly understand what he/ she is doing. The book is full of information and is extremely user- friendly and easy to learn.

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Be a programmer, try this book.

Do you love Python Programming / Machine Learning? I highly recommend this book to anyone who really wants to understand the "how’s" and "whys" of programming using Python. As the authors state, the book won't teach one to program in one day- or in several days... But it will give you a solid foundation in programming with Python so that you will feel confident and will know what you are doing and why you are doing it.

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Clearn and concise audible.

I've been trying to take a more systematic approach to learning programming instead of searching for every solution on Stack Exchange and trying to get them to fit what I want to do. This book has been great!

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An Excellent addition to my digital liberary.


This is an excellent book, full of examples and very well structured for anyone who wants to learn and master the Python programming language and Machine Language.

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This book has a class course structure.

If you or others near you, someone that knows nothing about programming language or Machine Learning and want to know where to start ....This is the point, start here. This book has a class course structure with quizzes at the end of each chapter. To Test what you’ve learned right off to work your comprehension.

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    3 out of 5 stars

awkward phrasing, competent narration

This is much easier to follow than the auto-generated audio version and I commend the narrator for being as clear and accurate as he is, despite the grammatical and wording errors in the text - which suggest at least some of it was written by a non-native speaker of English, and that the text was not properly quality assured for consistency and accuracy. THe basic content is helpful and overall well written, but inconsistent use of language (leaving out "the" in some cases and including it in others for example) hinders the usability. THe book however has the same problems and has the added problem that the page size is so small in the pdf, that code wraps to a second line or a second page, making it more confusing to follow.

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Not good as audio book.

I would not recommend if you are looking for an audio only book. You will need to reference the PDF in most of the chapters.

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2 people found this helpful