This unit introduces techniques for selecting and evaluating machine learning models. Students will learn about cross-validation, hyperparameter tuning, and metrics for assessing model performance. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview of Machine Learning
• Introduction to Machine Learning
• Supervised Learning
• Linear Regression and Classification
• Unsupervised Learning
• Decision Trees and Ensemble Methods
• Support Vector Machines and Kernel Methods
• Linear Regression