Decision Trees and Ensemble Methods
Bachelor of Science in Computer Science · University · Machine Learning
This unit introduces decision tree algorithms and ensemble methods like random forests and boosting. Students will gain proficiency in applying these methods to real-world machine learning problems.
Zum Üben gibt es 96 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Decision Tree Induction
- Ensemble Learning Techniques
- Model Evaluation and Selection
- Overfitting and Underfitting
- Applications of Decision Trees and Ensemble Methods
Stichworte
- Decision Trees
- Ensemble Methods
- Random Forests
- Boosting
- Model Selection
- Machine Learning
- Classification
- Regression
- Overfitting
- Underfitting