This unit introduces Principal Component Analysis (PCA), a technique for reducing the dimensionality of data by identifying the most important features. By the end of this unit, you will be able to apply PCA to real-world datasets and interpret the results. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Support Vector Machines
• Naive Bayes
• K-Means Clustering
• Hierarchical Clustering
• Factor Analysis