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.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Machine Learning: Random Forests & Decision Trees course ratings and reviews
52 ratings
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Join over 50 million learners and start Machine Learning: Random Forests & Decision Trees today!
Looking for something else?
Related resources
- Article
Decision Trees for Classification and Regression
Learn about decision trees, how they work and how they can be used for classification and regression tasks. - Article
Feature Importance
Learn about feature importance and how to calculate it. - Article
Depth-First Search: Conceptual
High-level, language-agnostic introduction to depth-first search with theoretical and practical discussion.
Related courses and paths
- Free course
Ensemble Methods in Machine Learning
Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.Intermediate2 hours - Free course
Learn Advanced Data Structures with Python: Trees
Learn how to use tries and binary indexed trees for efficient search implementations.Advanced1 hour - Skill path
Build a Machine Learning Model
Learn to build machine learning models with Python.Includes 10 CoursesWith CertificateBeginner Friendly23 hours
Browse more topics
- Python3,522,761 learners enrolled
- Data Science4,360,305 learners enrolled
- Machine Learning636,805 learners enrolled
- Code Foundations7,240,250 learners enrolled
- Computer Science5,693,799 learners enrolled
- Web Development4,844,822 learners enrolled
- For Business3,235,204 learners enrolled
- JavaScript2,809,247 learners enrolled
- Data Analytics2,351,370 learners enrolled
Unlock additional features with a paid plan
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.