Machine Learning Random Forest with Python from Scratch - Structure

The video tutorial introduces the concept of random forests, explaining that a forest is a collection of trees. It details the structure of a tree, including roots, leaves, and stems, and how these components form a decision-making tree. The tutorial further explains decision and leaf nodes, and how to visually represent a random forest. The session concludes with a discussion on terminology and a preview of implementing a tree in Python.

What new insight or understanding did you gain from this video?