Created by:  Higher School of Economics

  • Dmitry Ulyanov

    Taught by:  Dmitry Ulyanov, Visiting lecturer

    HSE Faculty of Computer Science

  • Alexander Guschin

    Taught by:  Alexander Guschin, Visiting lecturer at HSE, Lecturer at MIPT

    HSE Faculty of Computer Science

  • Mikhail Trofimov

    Taught by:  Mikhail Trofimov, Visiting lecturer

    HSE Faculty of Computer Science

  • Dmitry Altukhov

    Taught by:  Dmitry Altukhov, Visiting lecturer

    HSE Faculty of Computer Science

  • Marios Michailidis

    Taught by:  Marios Michailidis, Research Data Scientist

    H2O.ai
Basic Info
LevelAdvanced
Commitment6-10 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
Higher School of Economics
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru
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Ratings and Reviews
Rated 4.8 out of 5 of 26 ratings

Even though, it revolves around Kaggle competitions which are usually simpler than real-life, this course is full of down-to-earth practical techniques and examples which is really valuable for me.

Idea to organize Kaggle competition as a course project is very good.

Lectors are easy to follow and nice to listen to.

Very nice tricks!

This course is amazing. Taught by experts in the field with a proven track record of outstanding performance in Kaggle competitions. They teach how to fine tune ML models to achieve better performance. My choice for best course on Coursera!

This course is fantastic. It's chock full of practical information that is presented clearly and concisely. I would like to thank the team for sharing their knowledge so generously.