Hi Reader,

For 12 years, I've been teaching scikit-learn. It's the ideal tool for Machine Learning in Python, given its broad functionality, community support, and high-quality documentation.

But there's a HUGE difference between documentation and an effective user manual. That's why I published Master Machine Learning with scikit-learn: I wanted to provide battle-tested guidance for achieving superior Machine Learning results.

(Side note: Amazon US is currently offering a 34% discount on my book!)

However, there was a problem that kept nagging at me:

It took me years to research, write, and publish the book... and in the meantime, scikit-learn kept on releasing new features!

If I had revised the book every time a new feature was released, it never would have gotten published... which helps nobody.

Thus, I locked the book into a particular scikit-learn version and published it. And it has helped a TON of people!

Here's one review I'm particularly proud of:

But even after publishing a 300+ page book, there's still so much I want to teach you about scikit-learn, namely all the great features and enhancements that have come out since then.

That's what inspired my brand new course: Modern scikit-learn.

To develop this course, I dug through years of scikit-learn release notes, testing out dozens of new features, deciding which ones are worth knowing about.

And when I found a worthy new feature, I figured out how to teach it in the most clear and concise way possible. The result is 15 short video lessons totaling about an hour.

By the end of the Modern scikit-learn, you'll be ready to use the most important functionality that I wasn't able to cover in my book.

​Modern scikit-learn is 50% off for the next 2 days.

I hope you enjoy this course as much as I enjoyed making it!

- Kevin