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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open Machine Learning Course
| Date | Stars |
|---|---|
| 2026-07-31 | 10683 |
| 2026-08-01 | 10683 |
| 2026-08-05 | 10688 |
| 2026-08-06 | 10688 |
Today
— stars today
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Momentum
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growth rate 0.00%/day
<div align="center">
**[mlcourse.ai](https://mlcourse.ai) – Open Machine Learning Course**
[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
[](https://www.patreon.com/ods_mlcourse)
[](https://ko-fi.com/mlcourse_ai)
</div>
[mlcourse.ai](https://mlcourse.ai) is an open Machine Learning course by [OpenDataScience (ods.ai)](https://ods.ai/), led by [Yury Kashnitsky (yorko)](https://yorko.github.io/), now Staff GenAI specialist at Google Cloud. Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice. Thus, the course meets you with math formulae in lectures, and a lot of practice in the form of assignments and Kaggle Inclass competitions. Currently, the course is in a **self-paced mode**. Here, we guide you through the self-paced [mlcourse.ai](https://mlcourse.ai).
### Bonus assignments
Additionally, you can purchase a **Bonus Assignments pack** with the best non-demo versions of [mlcourse.ai](https://mlcourse.ai/) assignments. Select the ["Bonus Assignments" tier](https://www.patreon.com/ods_mlcourse) on Patreon or a [similar tier](https://boosty.to/ods_mlcourse/purchase/1142055?ssource=DIRECT&share=subscription_link) on Boosty (rus).
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<p align="center">
<a href="https://www.patreon.com/ods_mlcourse">
<img src="mlcourse_ai_jupyter_book/_static/img/become_a_patron.png">
</a>
<a href="https://boosty.to/ods_mlcourse">
<img src="mlcourse_ai_jupyter_book/_static/img/boosty_logo.png" width=200px%>
</a>
</p>
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<div class="col-md-4" markdown="1">
<details>
<summary>Details of the deal</summary>
mlcourse.ai is still in self-paced mode but we offer you Bonus Assignments with solutions for a contribution of $17/month. The idea is that you pay for ~1-5 months while studying the course materials, but a single contribution is still fine and opens your access to the bonus pack.
Note: the first payment is charged at the moment of joining the Tier Patreon, and the next payment is charged on the 1st day of the next month, thus it's better to purchase the pack in the 1st half of the month.
mlcourse.ai is never supposed to go fully monetized (it's created in the wonderful open ODS.ai community and will remain open and free) but it'd help to cover some operational costs, and Yury also put in quite some effort into assembling all the best assignments into one pack. Please note that unlike the rest of the course content, Bonus Assignments are copyrighted. Informally, Yury's fine if you share the pack with 2-3 friends but public sharing of the Bonus Assignments pack is prohibited.
</details>
</div>
</div><br>
The bonus pack contains 10 assignments, in some of them you are challenged to beat a baseline in a Kaggle competition under thorough guidance (["Alice"](https://mlcourse.ai/book/topic04/bonus_assignment04_alice_baselines.html) and ["Medium"](https://mlcourse.ai/book/topic06/bonus_assignment06.html)) or implement an algorithm from scratch -- efficient stochastic gradient descent [classifier](https://mlcourse.ai/book/topic08/bonus_assignment08.html) and [gradient boosting](https://mlcourse.ai/book/topic10/bonus_assignment10.html).
### Self-paced passing
You are guided through 10 weeks of [mlcourse.ai](https://mlcourse.ai). For each week, from Pandas to Gradient Boosting, instructions are given on which articles to read, lectures to watch, and what assignments to accomplish.
### Articles
This is the list of published articles on medium.com [:uk:](https://medium.com/open-machine-learning-course), habr.com [:ru:](https:/Excerpt of 17,345 characters
Read on GitHub
Yury Kashnitsky · Google Cloud · Netherlands
93
Baha Celik · Lithuania
2
2
1
1
1
1
Sergey Parshukov · Russia
1
1
Alex Dadukin · United Kingdom
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8605b45dbbb6a9cf, llm:Repository description: 'Open Machine Learning Course'; topics include machine-learning, data-science, algorithms, math, scikit-learn, pandas, numpy; README describes course content, lectures, assignments, Kaggle in-class competitions.
matched fp:8605b45dbbb6a9cf, llm:Repository description: 'Open Machine Learning Course'; topics include machine-learning, data-science, algorithms, math, scikit-learn, pandas, numpy; README describes course content, lectures, assignments, Kaggle in-class competitions.
matched fp:8605b45dbbb6a9cf, llm:Repository description: 'Open Machine Learning Course'; topics include machine-learning, data-science, algorithms, math, scikit-learn, pandas, numpy; README describes course content, lectures, assignments, Kaggle in-class competitions.