K-Nearest Neighbors Classification

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Получаемые навыки

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

Рецензии

4.6 (оценок: 5,898)
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  • 1 star
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RS

Jun 10, 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.

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.

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

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

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