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?

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What does the first layer of the decision tree represent?

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

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How many layers of nodes does the decision tree have?

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

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