3203 - Tree-based modeling

3203 - Tree-based modeling

Issued by GAIn® - The Global AI network

This two-day badge training starts with an explanation of why and when to use tree-based modeling techniques. Three techniques are explained and practiced in depth: Random Forest, AdaBoost, and XGBoost. For each technique, you learn the criteria to determine whether a model is suited for your data and how to evaluate the results.

Skills

Earning Criteria

  • Random Forest - Learning to apply a bagging tree classification technique through hands-on experience.
  • AdaBoost - Learning to apply a boosting tree classification technique through hands-on experience.
  • XGBoost - Gaining a deeper understanding of the most popular boosting tree method & learning to apply XGBoost through hands-on experience.
  • Model interpretability – Assessing variable importance using different methods to interpret model results.
  • Model selection & evaluation – Assessing the impact of hyperparameter tuning & identifying the advantages and disadvantages of different classification models.
  • Exam