This unit explores the crucial concepts of model selection and evaluation in machine learning. Students will learn to identify and address overfitting and underfitting, utilize cross-validation techniques, and evaluate model performance using appropriate metrics. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Introduction to Machine Learning
• Supervised Learning
• Unsupervised Learning
• Data Cleaning and Transformation
• Feature Selection and Extraction
• Data Visualization
• Deep Learning
• Ensemble Methods