Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
highest eigenvalues, which emerge from the diagonalization process of the covariance matrix, following the standardisation of features. Standardising the data PCA is quite sensitive to variances of the initial variables, so that we are going to start standardising the initial features. Otherwise,