Coursera Project Network
Decision Tree and Random Forest Classification using Julia
Coursera Project Network

Decision Tree and Random Forest Classification using Julia

Taught in English

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1 hour 30 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.2

(16 reviews)

What you'll learn

  • Learn about stumps, decision trees and random forests.

  • Learn how to check the performance of a decision tree and random forest.

  • Work with a real world dataset.

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1 hour 30 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.2

(16 reviews)

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Learn, practice, and apply job-ready skills in less than 2 hours

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  • Gain hands-on experience solving real-world job tasks
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Learn about stumps and their importance.

  2. Learn how to build a decision tree.

  3. Learn how to prune a decision tree.

  4. Learn how to build a random forest.

  5. Learn how to do hyper parameter tuning

Recommended experience

Learners who do not know about decision trees, random forests or Julia programming.

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Instructor

Vinita Silaparasetty
Coursera Project Network
7 Courses12,756 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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