Principal Component Analysis (PCA) vs Singular Value Decomposition (SVD)

Introduction In data science, dimensionality reduction is a crucial technique to simplify datasets, remove noise, and improve the efficiency of algorithms. Two powerful mathematical methods used for this purpose are: Principal Component Analysis (PC...