Validation and overfitting

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Compétences que vous apprendrez

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Avis

4.7 (1,024 évaluations)
  • 5 stars
    80.85%
  • 4 stars
    12.79%
  • 3 stars
    2.63%
  • 2 stars
    1.46%
  • 1 star
    2.24%
MM
9 nov. 2017

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.

SA
24 févr. 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.

À partir de la leçon
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.

Enseigné par

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    Dmitry Ulyanov

    Visiting lecturer
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    Alexander Guschin

    Visiting lecturer at HSE, Lecturer at MIPT
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    Mikhail Trofimov

    Visiting lecturer
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    Dmitry Altukhov

    Visiting lecturer
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    Marios Michailidis

    Research Data Scientist

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