Free
CourseMachine Learning: Random Forests & Decision Trees
Learn how to build decision trees and then build those trees into random forests.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursProjects
2Prerequisites
None
About this course
Continue your Machine Learning journey with Machine Learning: Random Forests and Decision Trees. Find patterns in data with decision trees, learn about the weaknesses of those trees, and how they can be improved with random forests.
Skills you'll gain
Prepare data for Decision Tree and Random Forest Classifiers
Implement and assess decision trees and random forests
Explain the limitations of decision trees
Syllabus
Decision Trees
In this course, you will learn how to build and use decision trees and random forests - two powerful supervised machine learning models.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.