Factor Investing, Dimensionality Reduction, Sklearn, Python.
principal components may not have a direct interpretation in the original feature space. Despite its limitations, PCA remains a widely used and effective technique for dimensionality reduction in many machine learning applications, and it serves as a foundation for many other advanced techniques,