Key Concepts in Machine Learning

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学習するスキル

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

レビュー

4.6 (8,161 件の評価)

  • 5 stars
    71.65%
  • 4 stars
    21.24%
  • 3 stars
    4.81%
  • 2 stars
    1.11%
  • 1 star
    1.16%

OA

2017年9月8日

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

2020年6月9日

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.

レッスンから

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.

講師

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    Kevyn Collins-Thompson

    Associate Professor

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