Lecture 4: Structured Data Processing (Part II)

(Last updated: Feb 2, 2024)

This lecture explains the theory of Decision Tree and Random Forest models that are used in the structured data processing module.

Preparation

There is no preparation material for this lecture.

Materials

• Slides for Lecture 4: Structured Data Processing (Decision Tree and Random Forest)

Additional Resources

Below is a very good document that explains the Decision Tree model:

• A Course in Machine Learning (the Decision Trees chapter)

Below is a video from StatQuest that explains the Decision Tree model nicely:

• Decision and Classification Trees, Clearly Explained