Classification metrics optimization II

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Destrezas que aprenderás

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Reseñas

4.7 (1,111 calificaciones)

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    80,28 %
  • 4 stars
    12,60 %
  • 3 stars
    2,88 %
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  • 1 star
    2,70 %

GW

18 de feb. de 2019

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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

24 de feb. de 2019

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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

Metrics Optimization

This week we will first study another component of the competitions: the evaluation metrics. We will recap the most prominent ones and then see, how we can efficiently optimize a metric given in a competition.

Impartido por:

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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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