Python, R Programming, R, Linear Algebra, Calculus.
science to reduce the number of features in a dataset while retaining most of the variance. PCA uses SVD to find the principal components of a dataset. Here’s an example of how to perform PCA using Python: pythonCopy code import numpy as np from sklearn.decomposition import PCA X = np.array([[1, 2,