Introduction

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Skills You'll Learn

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

Reviews

4.6 (7,430 ratings)

  • 5 stars
    71.60%
  • 4 stars
    21.33%
  • 3 stars
    4.88%
  • 2 stars
    1.07%
  • 1 star
    1.10%

OA

Sep 8, 2017

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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

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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.

From the lesson

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.

Taught By

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    Kevyn Collins-Thompson

    Associate Professor

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