Thank you for sharing!

In the “Tuning the decision threshold” section, scikit-learn now has a TunedThresholdClassifierCV! It could be worthwhile to include in the second edition. 😆


Best,
Thomas

On Mar 11, 2026, at 10:30 AM, Kevin Markham <[email protected]> wrote:


Hello scikit-learn community!

Last week I published a new book called “Master Machine Learning with scikit-learn”, and as my gift to the community, I’ve made it free to read online (with no ads and no registration required):


I designed it to be a “practitioner’s handbook" for the effective use of scikit-learn, covering many practical topics that I’ve not seen covered elsewhere. I hope that it fills a useful role in the ecosystem of scikit-learn educational resources, and perhaps even plays a tiny role in ensuring the long-term success of the library. (I’ve already heard from two teachers who would like to use the book in their classrooms, which is great news!)

If you're a current or former Core Contributor, I would be honored to send you a free paperback copy as a token of my appreciation. Just reply to me (not the list!) with your mailing address and I’ll ship you a copy from Amazon. (It’s already available in a dozen countries, and I’m actively working to expand distribution elsewhere.)

Thanks!
Kevin

P.S. In case you’re curious, I used Quarto to output the book website, ebook (PDF and EPUB), and paperback from a single set of source files. Quarto is amazing!!!

Kevin Markham
Founder, Data School
ML book on Amazon: https://geni.us/MasterML
Data Science courses: https://courses.dataschool.io

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