This unit introduces the concept of Support Vector Machines (SVMs) and provides a step-by-step guide to fitting an SVM model to data. Students will learn about the theory behind SVMs, different kernel functions, and how to evaluate the performance of SVM models. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview
• Types of Supervised Learning
• Applications of Supervised Learning
• Definition and Overview
• The Linear Regression Model
• Fitting a Linear Regression Model
• Definition and Overview
• The Logistic Regression Model