KazAnova's competition pipeline, part 2

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Просмотреть программу курса

Получаемые навыки

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Рецензии

4.7 (оценок: 625)
  • 5 stars
    529 ratings
  • 4 stars
    59 ratings
  • 3 stars
    16 ratings
  • 2 stars
    9 ratings
  • 1 star
    12 ratings
GW

Feb 19, 2019

Really excellent. Very practical advice from top competitors. This specialization is much more information-dense than most machine learning MOOCs. You really get your money's worth.

SA

Feb 25, 2019

I really enjoyed this course but it was probably 2-3 times more work than I anticipated. Most of that extra time comes from working on the final project, testing things out, etc.

Из урока
Hyperparameter Optimization
In this module we will talk about hyperparameter optimization process. We will also have a special video with practical tips and tricks, recorded by four instructors.

Преподаватели

  • Dmitry Ulyanov

    Dmitry Ulyanov

    Visiting lecturer
  • Alexander Guschin

    Alexander Guschin

    Visiting lecturer at HSE, Lecturer at MIPT
  • Mikhail Trofimov

    Mikhail Trofimov

    Visiting lecturer
  • Dmitry Altukhov

    Dmitry Altukhov

    Visiting lecturer
  • Marios Michailidis

    Marios Michailidis

    Research Data Scientist

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