Factor Investing, Dimensionality Reduction, Sklearn, Python.
variability or importance associated with each eigenvector. The eigenvectors are used as the new features or dimensions in the reduced-dimensional space, and the eigenvalues provide a measure of how much variability is preserved in each principal component. PCA can be used for various purposes,