KazAnova's competition pipeline, part 2

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学習するスキル

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

レビュー

4.7 (591 件の評価)
  • 5 stars
    498 ratings
  • 4 stars
    58 ratings
  • 3 stars
    15 ratings
  • 2 stars
    9 ratings
  • 1 star
    11 ratings

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.

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.

レッスンから
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.

講師

  • 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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