This unit introduces the concept of decision trees, a powerful machine learning algorithm used for both classification and regression tasks. Students will learn the fundamentals of decision tree construction, including entropy, information gain, and pruning techniques. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Support Vector Machines
• Naive Bayes
• Clustering
• Dimensionality Reduction
• Anomaly Detection
• Bagging