Name: Dimensionality reduction with PCA - Praktyczne aspekty PCA
Uploaded: 2024-07-11T00:00:00Z
Description: Principal component analysis, or PCA, is a common approach to dimensionality reduction. Learn exactly what PCA does, visualize the results of PCA with biplots and scree plots, and deal with practical issues such as centering and scaling the data before performing PCA.