Factor Investing, Dimensionality Reduction, Sklearn, Python.
data. It does not require iterative optimization like some other methods, making it faster and more scalable. Random projection can also preserve the linear separability of the data, which is important for some machine learning tasks. The main idea behind random projection is that the random