Factor Investing, Dimensionality Reduction, Sklearn, Python.
widely used technique for dimensionality reduction in machine learning. It is a linear technique that aims to reduce the dimensionality of a dataset while preserving the most important information or variability in the data. The main idea behind PCA is to transform the original features of the data