This unit introduces ensemble methods, a powerful technique in machine learning that combines multiple models to enhance predictive performance. Students will explore bagging, boosting, and random forests, gaining a comprehensive understanding of their principles and applications. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Overview of Machine Learning
• Machine Learning Process
• Ethical Considerations in Machine Learning
• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Clustering