Trees, Pruning, and Rule-Like Models
This module helps learners move from simple tree use to honest tree control.
Browser lab plus download fallbackRead the lessons, open the module notebook in the browser lab when available, and keep the downloadable pack for a local copy. Write the algorithm decision evidence before chasing scores.
Notebook options
Use the browser lab for quick practice, or extract the ZIP and open modules/module-06/notebooks/module-06-algorithm-notebook.ipynb locally. The downloadable pack remains the fallback if browser storage, network, or device limits interrupt the lab.
Module sequence
- Why trees capture interactionsUnit 1 · 25-40 minutes
- Splits, leaves, impurity, and depthUnit 2 · 25-40 minutes
- Classification and regression treesUnit 3 · 25-40 minutes
- Overfitting and pruningUnit 4 · 25-40 minutes
- Missing-value support and categorical cautionUnit 5 · 25-40 minutes
- Interpreting a tree without overclaimingUnit 6 · 25-40 minutes
- Project step: pruned tree reportUnit 7 · 25-40 minutes
- Activity: Create a pruned tree reportPractice activity · 45-75 minutes
- Module 6 Assessment: Trees, Pruning, and Rule-Like Models CheckModule check · 30-45 minutes