Model Evaluation & Selection

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Destrezas que aprenderás

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

Reseñas

4.6 (8,211 calificaciones)

  • 5 stars
    71,64 %
  • 4 stars
    21,20 %
  • 3 stars
    4,84 %
  • 2 stars
    1,13 %
  • 1 star
    1,16 %

FL

13 de oct. de 2017

Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!

RS

9 de jun. de 2020

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.

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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