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Discipline Module 3 · Predictive Models

Ensemble Methods

Workload
15h
Professor Prof. Dr. Matheus Haddad Assistant Professor with postdoctoral studies at Université Le Havre Normandie.
Syllabus

Ensemble tasks in machine learning. Types of ensemble methods. Ensemble methods for classification. Hyperparameter tuning techniques for optimizing ensemble methods.

Content
  • Ensemble tasks in machine learning
  • Types of ensemble methods
  • Ensemble methods for classification
  • Hyperparameter tuning techniques for optimizing ensemble methods
Core Bibliography
  • Géron, Aurélien. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. O'Reilly Media, Inc., 3ed. 2022.
  • Zhang, C.; Ma, Y.. Ensemble Machine Learning: Methods and Applications. Springer, 2012.
  • Wade, Corey, and Kevin Glynn. Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python. Packt Publishing Ltd, 2020.
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