Random Forest Lecture
Python tutorial on running classification with a Random Forest using sklearn and Iris dataset.
Required packages and prerequisites outlined in notebook.
Overview
- Set up train-test data
- Review decision trees
- Visualize a decision tree
- Introduction to random forest
- Train and predict with a random forest
- Visualize feature importances
- Create partial dependency plots for random forest
- Knowledge check and questions