Model Evaluation & Selection

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Получаемые навыки

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

Рецензии

4.6 (оценок: 7,032)
  • 5 stars
    71.64%
  • 4 stars
    21.34%
  • 3 stars
    4.93%
  • 2 stars
    1.06%
  • 1 star
    1%
AS
26 нояб. 2020 г.

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

RS
9 июня 2020 г.

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.

Из урока
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.

Преподаватели

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    Kevyn Collins-Thompson

    Associate Professor

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