Prepare
Due: September 19, 2024
prepare
Learning objectives
- Review tuning parameters for machine learning models
- Define boosted trees models
- Utilize grid search to optimize tuning parameters
- Implement space-filling designs for grid searches
- Introduce iterative search procedures for tuning parameters
- Implement Bayesian optimization using the {tune} package
- Finalize the model for production