Decision Trees

Decision Trees

Decision Trees is a core part of Machine Learning. In this case file you'll learn what it is, why it matters, and how to use it in real code.

Understanding decision trees well means you can read other people's Machine Learning code with confidence, and avoid the most common beginner mistakes in this area.

Key points:

• What decision trees means in the context of Machine Learning
• A minimal example you can run or read in the playground on the right
• A common mistake to avoid when working with decision trees

# Machine Learning: Decision Trees
def demo():
    print("Exploring Decision Trees in Machine Learning")

demo()

Tip: Try changing a value in the code on the right and re-running it — small experiments are the fastest way to build real intuition for decision trees.