mlcourse.ai

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**[mlcourse.ai](https://mlcourse.ai) – Open Machine Learning Course**

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[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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Mirrors: [mlcourse.ai](https://mlcourse.ai) (main site), [Kaggle Dataset](https://www.kaggle.com/kashnitsky/mlcourse) (same notebooks as Kaggle Notebooks), [Arabic version](jupyter_arabic/README.md)
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  <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 assignmen