Writing
mlcourse.ai
@ods_mlcourseTracked since May 2026
creating Open Machine Learning course by OpenDataScience.
Observed Aug 25, 2026 · staleModeled revenue
Paid members
4
−43.5% · 30-day rate from 23 observed days
Total audience
501
incl. free followers
Estimated monthly gross
$24
$12–$36 modeled range
Starting price
$3/mo
5 membership tiers
Pricing and benefits captured publicly
Membership tiersPatreon is not exposing patron counts by tier for this creator, so this section shows public prices and benefits only.
$0/moFreePublic prices and benefits only
$3/moMinimum viable supportThis tier is for general supporters of mlcourse.ai. $3 is the minimal amount recommended by Patreon.
$7/moGeneral supportThis tier is for general supporters of mlcourse.ai.
$17/moBonus AssignmentsIn this tier, you get access to a Jupyter Book with bonus "full" (as opposed to demo-) versions of mlcourse.ai assignments. These include implementing decision trees, Random Forest, SGD, and gradient boosting from scratch + beating baselines in Kaggle Inclass competitions where you are guided through the feature engineering and model validation process.
$41/moGenerous supporterIn this tier, you get the same benefits as in the "Bonus Assignments" tier but show even more appreciation for what the mlcourse.ai team is doing.
Growth signals: mlcourse.ai
−43.5%
Membership4 paid members · 30-day rate from 23 observed days
654
May 202617 weeks trackedNow
mlcourse.ai4 members · $24/mo
The chart only uses mlcourse.ai's observed public history. Comparison peers are listed below, but comparable trend series are not available yet.
Where mlcourse.ai ranks
Creator comparisonsCompare within
#5of 5 measured
Paid members in Recommended cohort
Semantic matches are not ready, so this fixed cohort uses the best available category, audience, pricing, and cadence evidence.
Ranking data · includes stale rows| Rank | Creator and why included | Paid members | Gap vs mlcourse.ai | Freshness |
|---|---|---|---|---|
| #1 |  Katy FarinaWritingCategory, audience, pricing & cadence | 6 | 2 more | Aug 26, 2026 |
| #1 |  novessWritingCategory, audience, pricing & cadence | 6 | 2 more | Aug 25, 2026 |
| #3 |  Katie Van Slyke MabryWritingCategory, audience, pricing & cadence | 5 | 1 more | Aug 26, 2026 |
| #3 |  ObviouslyQueerWritingCategory, audience, pricing & cadence | 5 | 1 more | Aug 25, 2026 |
| #5 |  mlcourse.aiProfileWritingPaid members position in Recommended cohort | 4 | Reference | Aug 25, 2026Stale |
The rank uses the full fixed cohort. This table shows up to five creators around mlcourse.ai; the coverage summary above still counts everyone.
Recent posts
What they publish7Profile posts0 postsLast month0%Members-only
Previews available for 12 of 7 posts
Article Latest postPublicAll bonus assignments releasedJul 1, 2021
Jul 1, 2021 0 likes 0 commentsHalf of the Bonus Assignments releasedMay 3, 2021ArticleMay 3, 2021Public 0 0Releasing mlcourse.aiNow the course got it's short and catchy name mlcourse.ai. Plans remain the same: let's keep up doing the best practical ML course in the world :)ArticleSep 21, 2018Public 0 0Medium articlesAll articles in English are now published. The next session will start on October, 1.ImageApr 30, 2018Public 0 0Half of Medium articles are publishedMar 8, 2018 View post Exploratory Data Analysis with Pandas Visual Data Analysis with Python Classification, Decision Trees and k Nearest Neighbors Linear Classification and Regression Bagging and Random Forest 5 more articles are to appear from March 12 till April 16, 2018. Stay tuned, here us our Publication (i.e. blog) on Medium.ImageMar 8, 2018Public 0 090% Videos, articles, translationsAt the moment we have 8 videos on Youtube (in Russian) covering roughly the same topics as in the corresponding articles on Habrahabr (Russian IT community and mass media). We are almost done with translation of the course materials into English. GitHub repository.VideoOct 31, 2017Public 0 0The course GitHub repositoryThe Open Machine Learning course aims to find the right mixture of theory and practice. The theoretical part is given through a series of Habrahabr articles (yet Russian-only) while practical skills are acquired through tons of homeworks, a couple of Kaggle competitions and individual projects. Among prerequisites are basics of Python programming, mathematical analysis, linear algebra and statistics.ImageJun 5, 2017Public 0 0All bonus assignments releasedJul 1, 2021ArticleJul 1, 2021Public 0 0Half of the Bonus Assignments releasedMay 3, 2021ArticleMay 3, 2021Public 0 0Releasing mlcourse.aiNow the course got it's short and catchy name mlcourse.ai. Plans remain the same: let's keep up doing the best practical ML course in the world :)ArticleSep 21, 2018Public 0 0Medium articlesAll articles in English are now published. The next session will start on October, 1.ImageApr 30, 2018Public 0 0Half of Medium articles are publishedMar 8, 2018 View post Exploratory Data Analysis with Pandas Visual Data Analysis with Python Classification, Decision Trees and k Nearest Neighbors Linear Classification and Regression Bagging and Random Forest 5 more articles are to appear from March 12 till April 16, 2018. Stay tuned, here us our Publication (i.e. blog) on Medium.ImageMar 8, 2018Public 0 0
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