How does a machine make a decision?
Concepts & Code -Â Decision Trees
Decision Trees are one of the most intuitive tools in machine learning: ask a question, split the data, and keep going until - BAM! - you can make a prediction.
Join Josh to see how Decision Trees decide where to split, why those decisions matter, and how the whole thing comes together in code.Â
What we'll do
By the end, you’ll be able to:
- See how Decision Trees make decisions
- Understand how a tree chooses where to split
- Follow a prediction from top to bottom
- Build and use a tree in code
No black box required.
We go live in...
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Save your spot
Is this for me?
 Yep, come join us if you’re:
- Getting started with machine learning
- A data analyst or early-career data scientist
- Using data in graduate school or research
- Already using Decision Trees but wondering what they’re actually doing
No ML expertise required. We'll build it up one idea at a time.
Learn Live with Josh
Josh Starmer is the founder of StatQuest and author of The StatQuest Illustrated Guide to Machine Learning and The StatQuest Illustrated Guide to Neural Networks and AI, known for turning intimidating concepts into clear, joyful explanations.
Save your spot!
Decision Trees are more fun when you know why they work.
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