K-Nearest Neighbors Classification

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您将学习的技能

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

审阅

4.6(8,073 个评分)

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    71.60%
  • 4 stars
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  • 3 stars
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  • 2 stars
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  • 1 star
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OA

Sep 8, 2017

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

Jun 9, 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.

从本节课中

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.

教学方

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    Kevyn Collins-Thompson

    Associate Professor

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