Factor Investing, Dimensionality Reduction, Sklearn, Python.
such as data visualization, feature extraction, and noise reduction. In data visualization, PCA can project high-dimensional data onto a lower-dimensional space, allowing for visualizations in two or three dimensions. In feature extraction, PCA can be used to reduce the number of features in the