This unit provides hands-on experience in applying machine learning techniques to real-world problems. Students will work on projects involving data preprocessing, model selection, and model evaluation. 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
• Model Selection and Evaluation
• Support Vector Machines and Kernel Methods