Week 8 · 45-60 min
Decision Trees
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- What Is a Decision Tree?
- How Decision Trees Make Decisions
- Building a Decision Tree in scikit-learn
- Visualizing a Decision Tree
Glossary
Review these key terms before starting this week. They are kept simple so students can learn the new vocabulary before moving into the slides.
- What Is a Decision Tree?
- What Is a Decision Tree?
- How Decision Trees Make Decisions
- How Decision Trees Make Decisions
- Building a Decision Tree in scikit-learn
- Building a Decision Tree in scikit-learn
What Is a Decision Tree?
Progress
1 / 8
Understand decision trees as an intuitive ML model.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
A decision tree uses a sequence of yes or no questions.
It is structured like a flowchart with branches.
It can be used for classification or regression.
It is often easier to explain than many other models.
This makes it appealing for beginner-friendly interpretability.
Remember
Decision trees are appealing because their reasoning can often be visualized directly.
What Is a Decision Tree?
Slide 1 of 8
Use arrows or dots to move through the lesson
Practice
- Write 2-3 sentences about what you learned this week.
Coming Next Week: Next: Model Evaluation