Data Science, Factor Analysis, Data, Machine Learning, Statistics.
step in our exploratory analysis, is to take a look at the covariance matrix. PCA normalizes the data and creates the covariance matrix, but it’s useful to visualize the linear relationships between features. Covariance matrix for our dataset. To read this matrix, we should first focus in the