This unit introduces the fundamental concepts of model validation in machine learning, including cross-validation, train-test split, and evaluation metrics. Students will learn how to assess the performance of classification and regression models and select the best model for a given task. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Naive Bayes
• Clustering
• Dimensionality Reduction
• Association Rule Mining