Validation and overfitting

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Destrezas que aprenderás

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Revisiones

4.7 (692 calificaciones)
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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.

De la lección
Validation
In this module we will discuss various validation strategies. We will see that the strategy we choose depends on the competition setup and that correct validation scheme is one of the bricks for any winning solution.

Impartido por:

  • 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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