Model Interpretability

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Destrezas que aprenderás

Decision Tree, Ensemble Learning, Classification Algorithms, Supervised Learning, Machine Learning (ML) Algorithms


4.9 (221 calificaciones)

  • 5 stars
    89,14 %
  • 4 stars
    9,04 %
  • 3 stars
    0,90 %
  • 1 star
    0,90 %


5 de feb. de 2023

Well-structured learning path. If you dont have previous python experience you can catch up after a couple of weeks as the workflow is similar regardless of the algorithmn you are using


17 de jun. de 2021

The course is very well structured, and the explanations very clear. I would only suggest enhancing the peer-review community since it takes a long time to get a review sometimes.

De la lección

Modeling Unbalanced Classes

Impartido por:

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    Mark J Grover

    Digital Content Delivery Lead

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    Yan Luo

    Ph.D., Data Scientist and Developer

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    Svitlana (Lana) Kramar

    Data Science Content Developer

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    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

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    Miguel Maldonado

    Machine Learning Curriculum Developer

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