Lecture 3: Structured Data Processing (Part I)

(Last updated: Sep 8, 2025)

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 3: Structured Data Processing (Decision Tree, Random Forest, and PCA)

Additional Resources

Below are videos from StatQuest that explains the Decision Tree model and PCA nicely:

• Decision and Classification Trees, Clearly Explained
• Principal Component Analysis (PCA), Step-by-Step