Python for Machine Learning - The Complete Beginners Course - Decision Tree Structure

The video tutorial explains the structure of a decision tree for a given data set. It describes how nodes represent parameters and are connected to provide a yes or no answer. The tree is explained up to the second depth, with the first layer representing a single node for companies. The second layer branches into nodes for different companies like Google, Facebook, and ABC Pharma. The decision tree indicates that Facebook employees earn over $100,000, regardless of their degree or position.

What is the structure of the decision tree described in the text?

What does the first layer of the decision tree represent?

What companies are mentioned as part of the decision tree's second layer?

How many layers of nodes does the decision tree have?

According to the decision tree, what can be inferred about a person working at Facebook?