Ch 6 · Decision Trees · Machine Learning & AI

Topic 6 of 13 in Machine Learning & AI — Foundations — 2 lessons.

A Flowchart of Questions

A decision tree classifies by asking yes/no questions about the features, narrowing down until it reaches an answer — exactly like a game of "20 Questions". Each question splits the data into purer groups.

Finding the Best Split

A tree learns by trying split points and keeping the one that best separates the labels. This stump scans thresholds and picks the most accurate one.

All topics in Machine Learning & AI Beginner

1. What Is Machine Learning?
2. Data — Features, Labels & Splitting
3. Linear Regression — Fitting a Line
4. How Models Learn — Gradient Descent
5. Classification — Predicting Categories
6. Decision Trees
7. Evaluating a Model Honestly
8. Overfitting & the Bias-Variance Tradeoff
9. The ML Workflow
10. Mini-Project — A Spam Classifier
11. Clustering — Finding Groups Without Labels
12. Your First Real scikit-learn Model
13. Words as Numbers — A Taste of NLP