Decision Trees
Data Science · Further Education · Machine Learning Algorithms
This unit introduces the concept of Decision Trees, a powerful technique for making predictions using tree-like structures. Students will learn the fundamentals of Decision Trees, including their construction, evaluation, and application in various machine learning tasks.
Zum Üben gibt es 42 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Decision Trees
- Types of Decision Trees
- Decision Tree Construction
- Feature Selection and Splitting Criteria
- Decision Tree Evaluation and Pruning
- Applications of Decision Trees
- Advantages and Disadvantages of Decision Trees
Stichworte
- Decision Trees
- Supervised Learning
- Classification
- Regression
- Tree Construction
- Tree Pruning
- Feature Selection
- Model Evaluation