Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
(k ≤ d). Construct a projection matrix W from the “top” k eigenvectors. Transform the d-dimensional input dataset X using the projection matrix W to obtain the new k-dimensional feature subspace. Let’s perform a PCA step by step, using Python as a learning exercise. Then, we will see how to perform