This unit introduces ensemble methods, a powerful technique in machine learning that combines multiple models to enhance predictive performance. Students will explore bagging, boosting, and random forests, gaining hands-on experience in implementing these algorithms. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Introduction to Machine Learning
• Supervised Learning
• Unsupervised Learning
• Model Selection and Evaluation
• Data Cleaning and Transformation
• Feature Selection and Extraction
• Data Visualization
• Deep Learning