Factor Investing, Dimensionality Reduction, Sklearn, Python.
algorithms aim to learn a mapping from the high-dimensional data space to a lower-dimensional manifold space, where the data can be represented in a reduced-dimensional form. One of the key advantages of manifold learning is that it can capture the nonlinear relationships and structures present in