Random Forests
Data Science · Further Education · Machine Learning Algorithms
This unit introduces Random Forests, an ensemble learning technique that combines multiple decision trees to improve accuracy. Students will learn the concepts, algorithms, and applications of Random Forests in data science.
Zum Üben gibt es 55 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Random Forests
- Ensemble Learning
- Decision Trees
- Bagging
- Feature Importance
- Hyperparameter Tuning
- Applications of Random Forests
- Classification
- Regression
- Case Studies
Stichworte
- Random Forests
- Applications