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. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Naive Bayes
• K-Means Clustering
• Hierarchical Clustering
• Principal Component Analysis