This unit delves into the art of model selection, equipping students with the knowledge and skills to optimize model performance. Through hyperparameter tuning, regularization techniques, and ensemble methods, students will gain a comprehensive understanding of how to select and refine models for real-world applications. 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