1Foundational Skills & Classical Machine Learning 1.2Supervised Learning
1.2.6Model Ensembles
Not written yet
This module is on the syllabus, but nobody has written it yet. If you'd like to take it on, say so on Discord or start the file on GitHub.
| Part | 1 Foundational Skills & Classical Machine Learning |
|---|---|
| Topic | Supervised Learning |
| Subtopic | Model Ensembles (Gradient Boosting, Bagging, Random Forest) |
| Practice | Contestants should develop practical skills necessary to implement AI methods in code. This includes knowing how to use library functions effectively, call the method on a particular data, and interpret outputs. |