Model Evaluation & Selection

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Destrezas que aprenderás

Python Programming, Machine Learning (ML) Algorithms, Machine Learning, Scikit-Learn

Reseñas

4.6 (7,785 calificaciones)

  • 5 stars
    71,63 %
  • 4 stars
    21,33 %
  • 3 stars
    4,84 %
  • 2 stars
    1,07 %
  • 1 star
    1,10 %

RS

9 de jun. de 2020

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The course was really interesting to go through. All the related assignments whether be Quizzes or the Hands-On really test the knowledge. Kudos to the mentor for teaching us in in such a lucid way.

PS

3 de jun. de 2019

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This is an excellent course. The programming exercises can be solved only when you get the basics right. Else, you will need to revisit the course material. Also, the forums are pretty interactive.

De la lección

Module 3: Evaluation

This module covers evaluation and model selection methods that you can use to help understand and optimize the performance of your machine learning models.

Impartido por:

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    Kevyn Collins-Thompson

    Associate Professor

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