Johns Hopkins University

Practical Machine Learning

This course is part of multiple programs.

Taught in English

Some content may not be translated

Jeff Leek, PhD
Roger D. Peng, PhD
Brian Caffo, PhD

Instructors: Jeff Leek, PhD

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Course

Gain insight into a topic and learn the fundamentals

4.5

(3,246 reviews)

|

89%

8 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Use the basic components of building and applying prediction functions

  • Understand concepts such as training and tests sets, overfitting, and error rates

  • Describe machine learning methods such as regression or classification trees

  • Explain the complete process of building prediction functions

Details to know

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(3,246 reviews)

|

89%

8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
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There are 4 modules in this course

This week will cover prediction, relative importance of steps, errors, and cross validation.

What's included

9 videos4 readings1 quiz

This week will introduce the caret package, tools for creating features and preprocessing.

What's included

9 videos1 quiz

This week we introduce a number of machine learning algorithms you can use to complete your course project.

What's included

5 videos1 quiz

This week, we will cover regularized regression and combining predictors.

What's included

4 videos2 readings2 quizzes1 peer review

Instructors

Instructor ratings
4.5 (132 ratings)
Jeff Leek, PhD
Johns Hopkins University
32 Courses1,638,680 learners

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Recommended if you're interested in Machine Learning

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Showing 3 of 3246

4.5

3,246 reviews

  • 5 stars

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    22.36%

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    6.90%

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  • 1 star

    1.78%

MC
4

Reviewed on Dec 10, 2017

EG
4

Reviewed on Jul 27, 2016

AC
4

Reviewed on May 31, 2021

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