KazAnova's competition pipeline, part 1

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Skills You'll Learn

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Reviews

4.7 (590 ratings)
  • 5 stars
    497 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.

From the lesson
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.

Taught By

  • 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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