This unit provides an overview of supervised learning, covering classification and regression tasks, model evaluation metrics, and common algorithms such as linear regression and decision trees. Students will gain a solid understanding of the principles and applications of supervised learning. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

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