Building a Decision Tree

Learn how to create a decision tree using the ID3 algorithm.


  • Learn how to build a decision tree.
  • Learn how the ID3 algorithm works.
  • Learn how to make predictions using decision trees.

Mission Outline

1. Introduction to the Data
2. Overview of the ID3 Algorithm
3. Walking Through an Example of the ID3 Algorithm
4. Determining the Column to Split On
5. Creating a Simple Recursive Algorithm
6. Storing the Tree
7. Storing the Tree
8. Printing Labels for a More Attractive Tree
9. Making Predictions With the Printed Tree
10. Making Predictions Automatically
11. Making Multiple Predictions
12. Next Steps
13. Takeaways

Course Info:

Decision Trees


The average completion time for this course is 10-hours.

This course requires a premium subscription. This course has four paid missions and one guided project.  It is the 22nd course in the Data Scientist in Python path.


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