This unit introduces tree-based models, focusing on decision tree construction, pruning, and ensemble methods. By the end of the unit, students will be able to apply these techniques to solve real-world machine learning problems. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Support Vector Machines
• Naive Bayes
• Clustering
• Dimensionality Reduction
• Association Rule Mining
• Model Validation