AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
into a diagonal matrix is referred to as diagonalization, and it constitutes the primary motivation behind Principal Component Analysis (PCA). Here’s how PCA works: 1. Standardization Standardize the data when features are measured in diverse units. This entails subtracting the mean and dividing by