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Machine Learning With Python For Beginners: A Step-By-Step Guide with Hands-On Projects (Learn Coding Fast with Hands-On Project Book 7)

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Book details

  1. Book 7 of 7
    Learn Coding Fast with Hands-On Project
  2. Print length
    220 pages

    Print length: 220 pages

    Contains real page numbers based on the print edition (ISBN B09BT7YCCM).
  3. Language
    English
  4. Accessibility
    Learn more
  5. Publication date
    August 1, 2021
  6. File size
    5.0 MB
  7. Page Flip
    Enabled

    Page Flip: Enabled

    Page Flip is a new way to explore your books without losing your place.
  8. Word Wise
    Not Enabled

    Word Wise: Not Enabled

    Word Wise helps you read harder books by explaining the most challenging words in the book.
  9. Enhanced typesetting
    Enabled

    Enhanced typesetting: Enabled

    Enhanced typesetting improvements offer faster reading with less eye strain and beautiful page layouts, even at larger font sizes.
Brief content visible, double tap to read full content.
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Book overview

A Step-By-Step Beginner's Guide to Machine Learning

Have you always been curious about machine learning but do not know where to start. Or perhaps your new job requires you to learn machine learning but you are overwhelmed with all the information available online.

What is machine learning? What is Scikit-Learn? What does the fit() method that you see on so many online tutorials do?

Does machine learning seem like a black-box to you?

This book is for you.

You no longer have to spend hours watching videos online or reading through tutorials that assume you are familiar with essential scientific and machine learning libraries in Python. This book answers all the questions above and more.

Pre-Requisites

The book assumes that you are familiar with basic Python, especially with the concept of object-oriented programming in Python. If you are not familiar, you can check out my introductory book "Learn Python in one day and Learn It Well (2nd Edition)" available at https://www.amazon.com/dp/1546488332.

What this book offers?

Machine Learning for Beginners

Complex concepts are broken down into simple steps and examples are carefully chosen to illustrate each concept. Mathematical concepts are explained without complicated notations and formulas.

Hands-On Approach

Countless examples are provided for you to try out in each chapter, so that you can understand exactly what different machine learning methods do.

Systematic Approach

A systematic approach is taken to provide you with the background knowledge needed before covering advanced concepts.

How is this book different?

The best way to learn anything is by doing.

This book includes three hands-on projects at the end of the book for you to apply and practice all the concepts taught previously.

Working through the projects will not only give you an immense sense of achievement, it'll also help you retain the knowledge and solidify your understanding.

Whether you are an aspiring data scientist or just curious about machine learning, the book is designed to help you grasp the fundamental concepts of machine learning in a systematic and step-by-step fashion.

Are you ready to dip your toes into the exciting world of Machine Learning? This book is for you. Click the "Add to Cart" button to buy it now.

What you'll learn:

  • What is Machine Learning
  • What is supervised, unsupervised, and reinforcement learning
  • How to use the NumPy and pandas library
  • How to use matplotlib to plot charts
  • What is the Scikit-Learn library?
  • What do the fit() and transform() methods do
  • How to pre-process our data
  • How to use pipelines and column transformers to streamline our code
  • How to evaluate our models
  • What is a confusion matrix and how to interpret it
  • What is regression, classification, and clustering
  • What is the theory behind the linear regression, poly regression, decision tree, random forest, SVM, and k-means clustering algorithms
  • How to do a grid search to find the best hyperparameters
  • What is regularization
  • How to reduce the dimensions of our dataset
and more...

Finally, you'll be guided through three hands-on projects that require the application of all the topics covered.
Click the "Add to Cart" button now to start learning machine learning and build your own models.

About the author

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Jamie Chan
Jamie Chan
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Jamie is a tutor and freelance programmer with years of experience and a dedicated passion for sharing the joy of programming with as many people as possible. With multiple bestselling programming books on Amazon, Jamie's publications stand out for their ability to break down complex concepts into simple terms. Additionally, each book includes complete projects at the end, enabling hands-on learning and a deep understanding of the concepts presented.

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Product information

ASIN B09BNYDH5F
Publication date August 1, 2021
Accessibility Learn more
Language ‎English
File size 5.0 MB
Screen Reader Supported
Enhanced typesetting Enabled

Enhanced typesetting: Enabled

Enhanced typesetting improvements offer faster reading with less eye strain and beautiful page layouts, even at larger font sizes.
X-Ray Not Enabled
Word Wise Not Enabled

Word Wise: Not Enabled

Word Wise helps you read harder books by explaining the most challenging words in the book.
Print length 220 pages

Print length: 220 pages

Contains real page numbers based on the print edition (ISBN B09BT7YCCM).
Page Flip Enabled

Page Flip: Enabled

Page Flip is a new way to explore your books without losing your place.
Book 7 of 7 Learn Coding Fast with Hands-On Project
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Customer reviews

4.5 out of 5 stars
150 global ratings

Top reviews from the United States

  • akr
    5 out of 5 stars
    Verified Purchase

    Easy to follow for a complex topic

    Reviewed in the United States on August 3, 2021
    Format: Kindle

    I have read several tutorials and even started some courses on Machine Learning. It is a complex subject, but Jamie breaks it down in easier to follow language than most. This book comes with downloadable code that can be executed right on your computer. No need to type everything in by hand.

    I have read her books on Python and Java, and find that she explains programming concepts better and more concisely than most of those 600 page books. So far, I'm halfway through the second chapter, and have run a lot of the sample code, and I look forward to continuing.

    Keep in mind, it will help if you have a basic understanding of Python when reading this book. I highly recommend her Python book, as it covers all the basics quickly.

    Thanks, Jamie, for such a readable, and accessible book on Machine Learning!

    5 people found this helpful
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  • Felix Obere
    5 out of 5 stars
    Verified Purchase

    Great book

    Reviewed in the United States on July 1, 2023
    Format: Kindle

    It was very well arranged and structured. It is necessary to understand python before you jump into reading the book

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  • M
    5 out of 5 stars
    Verified Purchase

    Another great book by Jamie Chan!

    Reviewed in the United States on August 8, 2021
    Format: Kindle

    This is the third of book I have purchased by this author and I have always found his writing style and instruction methods to be conducive to learning in an easy and approachable way. Thanks for another great book!

    2 people found this helpful
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  • tom29928
    5 out of 5 stars
    Verified Purchase

    Thanks Jamie

    Reviewed in the United States on August 8, 2021
    Format: Kindle

    it's no surprise that Jamie's newest book makes learning a complex subject easy and actually fun. Get his learning Python book first.

    4 people found this helpful
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  • mr X
    5 out of 5 stars
    Verified Purchase

    good book

    Reviewed in the United States on October 30, 2021
    Format: Kindle

    Easy to learn with this book

    One person found this helpful
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  • David E A.
    5 out of 5 stars
    Verified Purchase

    A great book for beginners.

    Reviewed in the United States on August 10, 2021
    Format: Kindle

    Thank you for the book Jamie.

    One person found this helpful
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  • Bhanumurthy Ramala
    5 out of 5 stars

    Nicely written book to learn ML

    Reviewed in the United States on August 6, 2021
    Format: Kindle

    Nicely written book to ML learners

    One person found this helpful
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Top reviews from other countries

  • JBrassard
    5 out of 5 stars
    Verified Purchase

    Interesting, easy to learn

    Reviewed in Canada on October 11, 2021
    Format: Kindle

    I bought the Learn Python In One Day book and now Im adding more books to go with it. Happy with it. Easy to understand.

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  • Namakakiweyho
    5 out of 5 stars
    Verified Purchase

    You need to know something about Python so read his other book!

    Reviewed in Australia on August 26, 2021
    Format: Kindle

    I love Jamies writing style, it's so easy to digest and for me most important when reading any technical publication. As for this book, it's a great introduction to machine learning with Python and hopefully he'll come up with Part II, to get to grips with more involved algorithms.

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  • Amazon Customer
    5 out of 5 stars
    Verified Purchase

    Excellent introduction to ML

    Reviewed in the United Kingdom on March 21, 2024
    Format: Kindle

    This short e-book is an excellent introduction to the basic principles and methodology of machine learning. The book is useful if you want a solid foundation in ML basics.

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  • Joe Puce
    3 out of 5 stars
    Verified Purchase

    I purchased this book mainly for exploration of arrays.

    Reviewed in Australia on August 31, 2021
    Format: Kindle

    Can't say because the codes were beyond my needs.

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  • Lee T
    5 out of 5 stars
    Verified Purchase

    Good examples

    Reviewed in the United Kingdom on February 29, 2024
    Format: Kindle

    Jamie explains his point with clearly coded examples Projects are also clearly broken down into tasks, demonstrating the workflow to build a model

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