Multi-Class Evaluation

video-placeholder
Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.6 (7,450 ratings)

  • 5 stars
    71,57 %
  • 4 stars
    21,38 %
  • 3 stars
    4,87 %
  • 2 stars
    1,07 %
  • 1 star
    1,10 %

OA

8 сент. 2017 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

RS

9 июня 2020 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

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

  • Placeholder

    Kevyn Collins-Thompson

    Associate Professor

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.