Machine Learning Mastery With Python

Machine Learning Mastery With Python

Discover The Fastest Growing Platform For Professional Machine Learning
With Step-By-Step Tutorials and End-To-End Projects

Machine Learning Mastery With Python


$37 USD

The Python ecosystem with scikit-learn and pandas is required for operational machine learning.

Python is the rising platform for professional machine learning because you can use the same code to explore different models in R&D then deploy it directly to production.

In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, learn exactly how to get started and apply machine learning using the Python ecosystem. You get:

  • 178 Page PDF Ebook.
  • 74 Python Recipes using scikit-learn and Pandas.
  • 16 Step-by-Step Lessons.
  • 3 End-to-End Projects.

Start Python Machine Learning Today

Click to jump straight to the packages.

Nick Bucheleres

The recipes in this book alone are worth the money, but Jason very effectively breaks down the theory behind each algorithm, and outlines their appropriate use-case. This is great for any level ML developer, even advanced, as he includes information not found anywhere else.

Machine Learning Mastery with Python is for Developers

….with a little Background in Machine Learning
…and LOTS of Interest in Making Accurate Predictions and Delivering Results

I have carefully designed this Ebook for developers that already know a little background in machine learning and who are interested in discovering how to make accurate predictions and deliver results with machine learning on the Python ecosystem.

Introducing your guide to applied machine learning with Python.

You will discover the step-by-step process that you can use to get started and become good at machine learning for predictive modeling with the Python ecosystem including:

  • Python 3.6 (or 2.7)
  • SciPy
  • NumPy
  • Matplotlib
  • Pandas
  • Scikit-Learn

This book will lead you from being a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models.

After reading this ebook you will know…

  • How to deliver a model that can make accurate predictions on new unseen data.
  • How to complete all subtasks of a predictive modeling problem with Python.
  • How to learn new and different techniques in Python and SciPy.
  • How to work through a small to medium sized dataset end-to-end.
  • How to get help with Python machine learning.

You will know which Python modules, classes and functions to use for common machine learning tasks.

From here you can start to dive into the specifics of the functions, techniques and algorithms used with the goal of learning how to use them better in order to deliver more accurate predictive models, more reliably in less time.

Harness The Rising Power of Python for Machine Learning

The Python ecosystem is growing and may become the dominant platform for machine learning.

The reason is because Python is a general purpose programming language (unlike R or Matlab). This means that you can use the same code for research and development to figure out what model to run as you can in production.

The cost and maintenance efficiencies and benefits of this fact cannot be understated.

Everything You Need To Know to Apply Machine Learning in Python

You Will Get:
16 Lessons on Python Best Practices for Machine Learning Tasks and
3 Project Tutorials that Tie it All Together

This Ebook was written around two themes designed to get you started and using Python for applied machine learning effectively and quickly.

These two parts are Lessons and Projects:

  1. Lessons: Learn how the sub-tasks of machine learning projects map onto Python and the best practice way of working through each task.
  2. Projects: Tie together all of the knowledge from the lessons by working through case study predictive modeling problems.

1. Lessons

Here is an overview of the 16 step-by-step lessons you will complete:

  • Lesson 1: Python Ecosystem for Machine Learning.
  • Lesson 2: Python and SciPy Crash Course.
  • Lesson 3: Load Datasets from CSV.
  • Lesson 4: Understand Data With Descriptive Statistics.
  • Lesson 5: Understand Data With Visualization.
  • Lesson 6: Pre-Process Data.
  • Lesson 7: Feature Selection.
  • Lesson 8: Resampling Methods.
  • Lesson 9: Algorithm Evaluation Metrics.
  • Lesson 10: Spot-Check Classification Algorithms.
  • Lesson 11: Spot-Check Regression Algorithms.
  • Lesson 12: Model Selection.
  • Lesson 13: Pipelines.
  • Lesson 14: Ensemble Methods.
  • Lesson 16: Model Finalization.

Each lesson was designed to be completed in about 30 minutes by the average developer.

2. Projects

Here is an overview of the 3 end-to-end projects you will complete:

  • Project 1: Hello World Project (Iris flowers dataset).
  • Project 2: Regression (Boston House Price dataset).
  • Project 3: Binary Classification (Sonar dataset).

Each project was designed to be completed in about 60 minutes by the average developer.

Master Machine Learning with Python Table of Contents

Master Machine Learning with Python Table of Contents

Here’s Everything You’ll Get…
in Machine Learning Mastery With Python

Hands-On Tutorials

A digital download that contains everything you need, including:

  • Clear descriptions that help you to understand the Python ecosystem for machine learning.
  • Step-by-step Python tutorials to show you exactly how to apply each technique and algorithm.
  • End-to-end Python projects that show you exactly how to tie the pieces together and get a result.
  • Python source code recipes for every example in the book so that you can run the tutorial and project code in seconds.
  • Digital Ebook in PDF format so that you can have the book open side-by-side with the code and see exactly how each example works.

Resources you need to go deeper, when you need to, including:

  • The best sources of information on the Python ecosystem including the Python language, SciPy, NumPy, Matplotlib, Pandas and scikit-learn.
  • The best places online where you can ask your challenging questions and actually get a response.

Foundation tutorials for getting started and data preparation, including:

  • The installation of the Python ecosystem and a shortcut to speed things up.
  • The Python language syntax crash course and how to install the libraries you need.
  • The loading of data from CSV or URL and the important foundation this lays for loading your own data.
  • The calculation of descriptive statistics and the 7 techniques you need to use to understand your data.
  • The visualization of your data and the 5 plots you need to get insights into your predictive modeling problem.
  • The data preparation process and the 4 methods you must consider before modeling your problem.
  • The selection of features and the 4 main methods that you can use to cut down the size of your data.

Practical Projects

Lessons on applied machine learning with the Python platform, including:

  • The importance of estimating model performance on unseen data and 4 techniques you need to do so.
  • The metrics used to measure model performance and which to use for regression and classification problems.
  • The necessity of not assuming a solution, the spot checking method and the linear and nonlinear algorithm recipes you can use immediately.
  • The comparison and selection of trained models and the summarization of results and plotting technique to help you choose.
  • The organization of machine learning tasks into workflows and the 2 main types you need to know about.
  • The improvement of results with ensemble methods and the 3 main techniques you can use on your projects.
  • The tuning of machine learning algorithm hyperparameters and 2 different methods to apply.
  • The finalization of a trained model to save it to file and later load it to make new predictions on unseen data.

Projects that tie together the lessons into end-to-end sequence to deliver a result, including:

  • The project template that you can use to jump-start any predictive modeling problem in Python with scikit-learn.
  • The first machine learning project in Python for multi-class classification that provides a gentle guide to the template and how the lessons tie together.
  • The regression project to predict house prices that shows the improvements of data transforms, tuning and ensemble methods.
  • The binary classification problem that predicts the difference between rocks and mines from sonar data showing the judicious use of algorithm tuning and ensemble algorithms.
  • The selection of extra predictive modeling projects that can be used for ongoing practice to build up a portfolio of work.

What More Do You Need?

Take a Seek Peek Inside The Ebook

Master Machine Learning with Python Page2

Master Machine Learning with Python - Page1

Master Machine Learning with Python - Page3

BONUS: Python Machine Learning Script Library
…you get 74 Fully Working Python Scripts

Each recipe presented in the book is standalone meaning that you can copy and paste it into your project and use it immediately.

You get one Python script (.py) for each example provided in the book.

Your Python Script Library is organized by chapter coving topics such as:

  • Analyze Data
    • Data Loading
    • Data Summary
    • Data Visualization
  • Prepare Data
    • Data Preparation
    • Data Feature Selection
  • Algorithms
    • Classification
    • Regression
  • Evaluate Algorithms
    • Algorithm Comparison
    • Algorithm Metrics
    • Algorithm Pipeline
    • Algorithm Resampling
  • Improve Results
    • Algorithm Tuning
    • Ensembles
  • Finalize Model

This means that you can follow along and compare your answers to a known working implementation of each algorithm in the provided Python files.

This helps a lot to speed up your progress when working through the details of a specific task.

Python Machine Learning Sample Code

Python Machine Learning Sample Code

About The Author

Jason BrownleeHi, I'm Jason Brownlee.

I live in Australia with my wife and son and love to write and code.

I have a computer science background as well as a Masters and Ph.D. degree in Artificial Intelligence.

I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones. (yes I have written tons of code that runs operationally)

I get a lot of satisfaction helping developers get started and get really good at machine learning.

I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

I'm here to help if you ever have any questions. I want you to be awesome at machine learning.

Get Your Sample Chapter

Download PDFWant to take a look at the Ebook? Download a free sample chapter PDF.

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Click Here to Get My Sample Chapter


Check Out What Customers Are Saying:

Extremely Helpful for actually immediately implementing ML to any applications you may have. This book actually provides examples and recipes that you can study and learn. This is a book for implentation, it does not necessarily explain the code in depth as far as how it does what it does, but it explains exactly how to use it.

Machine Learning Mastery by Jason Brownlee is an excellent introduction to a highly important and modern topic. The strongest aspect of the book is the “Yes I Can Do This” feeling you will get while going through the text and examples. I feel that the book may be of even more value with some more explanation on what the different sorts of algorithms do, but would nevertheless recommend it to anyone without a technical background who wants to get started.

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just email me within 90 days of buying, and I'll give you your money back ASAP.

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Discover One The Fastest Growing Machine Learning Platforms Today

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Do you have any Questions?

See the FAQ.

What Are Skills in Machine Learning Worth?

Your boss asks you:

Hey, can you build a predictive model for this?

Imagine you had the skills and confidence to say:
...and follow through.

I have been there. It feels great!

How much is that worth to you?

The industry is demanding skills in machine learning.
The market wants people that can deliver results, not write academic papers.

Business knows what these skills are worth and are paying sky-high starting salaries.

A Data Scientists Salary Begins at:
$100,000 to $150,000.
A Machine Learning Engineers Salary is Even Higher.

What Are Your Alternatives?

You made it this far.
You're ready to take action.

But, what are your alternatives? What options are there?

(1) A Theoretical Textbook for $100+'s boring, math-heavy and you'll probably never finish it.

(2) An On-site Boot Camp for $10,000+'s full of young kids, you must travel and it can take months.

(3) A Higher Degree for $100,000+'s expensive, takes years, and you'll be an academic.


For the Hands-On Skills You Get...
And the Speed of Results You See...
And the Low Price You Pay...

Machine Learning Mastery Ebooks are
Amazing Value!

And they work. That's why I offer the money-back guarantee.

You're A Professional

The field moves quickly, long can you wait?

You think you have all the time in the world, but...

  • New methods are devised and algorithms change.
  • New books get released and prices increase.
  • New graduates come along and jobs get filled.

Right Now is the Best Time to make your start.

Bottom-up is Slow and Frustrating,
...don't you want a faster way?

Can you really go on another day, week or month...

  • Scraping ideas and code from incomplete posts.
  • Skimming theory and insight from short videos.
  • Parsing Greek letters from academic textbooks.

Targeted Training is your Shortest Path to a result.

Professionals Use Training To Stay On Top Of Their Field
Get The Training You Need!

You don't want to fall behind or miss the opportunity.

Frequently Asked Questions

Why doesn't my payment work?

I am sorry to hear that you're having difficulty.

Some ideas:

  • Perhaps you can double check that your details are correct, just in case of a typo?
  • Perhaps you could try a different payment method, such as PayPal or Credit Card?
  • Perhaps you could try my alternative secure payment processor, click here?
  • Perhaps you're able to talk to your bank, just in case they blocked the transaction?

If you're still having difficulty, please contact me and I can help investigate further.

Can I get your books for free?


Sorry, I don’t give away free copies of my books.

You can access all of my best free material on my blog.

Can I get a hard copy of your book?


Sorry, I don't have hard copies by design.

The books are written for immediate use, rather than references to sit on the shelf.

My students like to have the PDF open on their screen next to their editor so they can copy-paste code.

Also, the books are updated often to reflect changes to APIs. The field is moving very fast.

I hope that helps explain the rationale.

Are there Kindle or ePub versions of the books?


Sorry, just PDF Ebooks.

This is by design and I put a lot of thought into it. My rationale is as follows:

  • I use LaTeX to layout the text and code to give a professional look and I am afraid that EBook readers would mess this up.
  • The increase in supported formats would create a maintenance headache that would take a large amount of time away from updating the books and working on new books.
  • Most critically, reading on an e-reader or iPad is antithetical to the book-open-next-to-code-editor approach the PDF format was chosen to support.

My materials are playbooks intended to be open on the computer, next to a text editor and a command line. They are not reference texts to be read away from the computer.

Will I get free updates to the books?


All updates are free.

Books are usually updated once every month or two to fix bugs, typos and keep abreast of API changes.

Contact me anytime and check if there have been updates. Let me know what version of the book you have (version is listed on the copyright page).

How do I get access to any bonuses?

After you complete your purchase you will receive an email with a link to download your bundle.

The download will include the book or books and any bonus material.

Is there any digital rights management (DRM)?


Can I print the PDF for my personal use?


In what order should I read your books?

My best advice is to pick a topic that most interests you and start there.

Can I get a customized bundle of books?


Sorry, I cannot create custom bundles of books for you, it would create a maintenance nightmare for me. I’m sure you can understand.

You can see the full catalog of my books and bundles here.

Can I get an evaluation copy of your books?


Sorry, I no longer distribute evaluation copies of my books due to some past abuse of the privilege.

If you are a teacher or lecturer, I’m happy to offer you a student discount.

Contact me and ask for the discount.

Can I get an invoice for my purchase?


Email me with the details of your order (order number or email address used to make the purchase) and details you would like to appear on the invoice (your name, company name and address).

I will create a PDF invoice for you and email it back.

How long do books take to ship?

There are no physical books, therefore no shipping is required.

All books are EBooks that you can download immediately after you complete your purchase.

Do you ship to my country?

There are no physical books, therefore no shipping is required.

All books are EBooks that you can download immediately after you complete your purchase.

I support purchases from any country via PayPal or Credit Card.

Can I have a discount?

I do offer a discount to students, teachers, and retirees.

Note: I only offer discounts on individual books, not on the bundles. This is because the bundles are already heavily discounted.

If you are a student, teacher or a retiree please contact me and ask for the discount.

Do you have any sales, deals, or coupons?


I generally don't do sales.

If I do have a special, such as around the launch of a new book, I only offer it to past customers and subscribers on my email list.

I do offer book bundles that offer a discount for a collection of related books.

Can I get a refund?


I am sorry to hear that you want a refund.

Please contact me directly with your purchase details (order number or email address used to make the purchase) and I will organize a refund.

Will you help me if I have questions?


Please contact me anytime with questions about machine learning or the books.

One question at a time please.

Also, each book has a final chapter on getting more help and further reading and points to resources that you can use to get more help.

Do I need to be a good programmer?


Not at all.

My material requires that you have a programmers mindset of thinking in procedures and learning by doing.

You do not need to be an excellent programmer to read and learn about machine learning algorithms.

How much math do I need to know?

No background in statistics, probability or linear algebra is required.

I teach using a top-down and results-first approach to machine learning. You will learn by doing, not learn by theory.

There are no derivations.

Any questions presented are explained in full and are only provided to make the explanation clearer, not more confusing.

How much machine learning do I need to know?

Only a little.

If you are a reader of my blog posts, then you know enough to get started.

I do my best to lead you through what you need to know, step-by-step.

How long will the book take me to complete?

I recommend reading one chapter per day.

Some students finish the book in a weekend.

Most students finish the book in a few weeks by working through it during nights and weekends.

How are your books different to other books?

My books are playbooks. Not textbooks.

They have no deep explanations of theory, just working examples that are laser-focused on the information that you need to know to bring machine learning to your project.

My books are not for everyone, they are carefully designed for practitioners that need to get results, fast.

How are your books different from the blog?

The books are a concentrated and more convenient version of what I put on the blog.

I design my books to be a combination of lessons and projects to teach you how to use a specific machine learning tool or library and then apply it to real predictive modeling problems.

The books get updated with bug fixes, updates for API changes and the addition of new chapters, and these updates are totally free.

I do put some of the book chapters on the blog as examples, but they are not tied to the surrounding chapters or the narrative that a book offers and do not offer the standalone code files.

With each book, you also get all of the source code files used in the book that you can use as recipes to jump-start your own predictive modeling problems.

How are the 2 algorithms books different?

The book “Master Machine Learning Algorithms” is for programmers and non-programmers alike that learn through worked examples. It teaches you how 10 top machine learning algorithms work, with worked examples in arithmetic, not code (and spreadsheets) that show how each model learns and makes predictions.

The book “Machine Learning Algorithms From Scratch” is for programmers that learn by writing code to understand. It provides step-by-step tutorials on how to implement top algorithms as well as how to load data, evaluate models and more. It has less on how the algorithms work, instead focusing exclusively on how to implement each in code.

The two books can support each other.

Is there a team or company-wide license?


Due to abuse of the privilege, I only support purchases by individuals.

Is there a license for libraries?


Sorry, I only support purchases by individuals.

Do you have videos?


I only have tutorial lessons and projects in text format.

This is by design. I used to have video content and I found the completion rate much lower.

I want you to put the material into practice. I have found that text-based tutorials are the best way of achieving this.

After reading and working through the tutorials you are far more likely to apply what you have learned.

What operating systems are supported?

Linux, Mac OS X and Windows.

Can you be my mentor or coach?


Thanks for asking. I would love to help, but I just don't have the capacity.

I try to help as many people as possible through my blog and books.

Can I purchase from Amazon (or elsewhere)?


My books can only be purchased from my website.

The reason is that I am a small business and I want a direct relationship with you, my customer, so that I can offer personal support and send out updates about your book and new stuff I am working on.

I hope you can understand my rationale.

What if my download link expires?

It is possible that your link to download your purchase will expire after a few days.

This is a security precaution.

Please contact me and I will resend you purchase receipt with an updated download link.

Can I use your code in my own project?


But, understand that all code was developed and provided for educational purposes only and that I take no responsibility for it, what it might do or how you might use it.

Do you have another question?

Please contact me.