Factor Investing, Dimensionality Reduction, Sklearn, Python.
data, which can help improve the performance and interpretability of machine learning models. In noise reduction, PCA can be used to denoise data by removing the principal components associated with low eigenvalues, which are assumed to be noise. However, PCA also has some limitations. It is a