This unit introduces dimensionality reduction techniques, including Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). Students will learn how to reduce the dimensionality of data while preserving its important features, leading to improved machine learning model performance. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Overview of Machine Learning
• Machine Learning Process
• Ethical Considerations in Machine Learning
• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Ensemble Methods