K-Nearest Neighbors Classification

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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 1: Fundamentals of Machine Learning - Intro to SciKit Learn
This module introduces basic machine learning concepts, tasks, and workflow using an example classification problem based on the K-nearest neighbors method, and implemented using the scikit-learn library.

Преподаватели

  • Placeholder

    Kevyn Collins-Thompson

    Associate Professor

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