This unit introduces the concepts and techniques of Dimensionality Reduction, including Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). Students will learn how to apply these techniques for feature extraction and data analysis in Machine Learning and Data Science. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Naive Bayes
• Clustering
• Association Rule Mining
• Model Validation