Confusion Matrices & Basic Evaluation Metrics

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Compétences que vous apprendrez

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

Avis

4.6 (3,803 notes)
  • 5 stars
    2,784 ratings
  • 4 stars
    787 ratings
  • 3 stars
    174 ratings
  • 2 stars
    30 ratings
  • 1 star
    28 ratings
PS

Jun 04, 2019

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.

SS

Aug 19, 2017

the content of videos , quiz and exercise all work extremely well together towards the stated goal of the course i.e. to give the learner a good over view of how to apply ML theories into action

À partir de la leçon
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.

Enseigné par

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

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