最新帖子
7 postsAll bonus assignments released
免费All bonus assignments are now released as a neat Jupyter book. Including the notorious gradient boosting implementation...
Half of the Bonus Assignments released
免费Hi all! Yury here, a.k.a. Yorko. It's been a while since the latest mlcourse.ai session wrapped up. I've got a senior ti...
Releasing mlcourse.ai
免费Now the course got it's short and catchy name mlcourse.ai. Plans remain the same: let's keep up doing the best practical...
Medium articles
免费All articles in English are now published. The next session will start on October, 1. Exploratory Data Analysis with P...
Half of Medium articles are published
免费Exploratory Data Analysis with Pandas Visual Data Analysis with Python Classification, Decision Trees and k Nearest Neig...
90% Videos, articles, translations
付费At the moment we have 8 videos on Youtube (in Russian) covering roughly the same topics as in the corresponding articles...
The course GitHub repository
付费The Open Machine Learning course aims to find the right mixture of theory and practice. The theoretical part is given th...
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关于我们 mlcourse.ai
mlcourse.ai is a Patreon page supporting the creation and maintenance of a free, open-source machine learning course developed by OpenDataScience (ODS), one of the world's largest IT communities boasting over 40,000 data scientists. Since its launch in June 2017, the course has attracted a community of 241 members, with 4 currently supporting the project through Patreon. While financial support remains modest (estimated at $18-$246 monthly), this reflects a broader commitment to open access education within the data science field. The course's unique value proposition lies in its creation by a prominent, established data science organization, leveraging the collective expertise of ODS and its connection to DataFest, the largest Russian-speaking data science conference. This ensures a high-quality, consistently updated resource benefiting both beginners and experienced practitioners. The community aspect is crucial, fostering collaboration and knowledge-sharing among learners.