This assignment developed learning on: variance-covariance matrix, diagonalizing a matrix, eigenvectors and eigen values, and the practical application of how eigen values can be used to identify principal components (features that contribute the most to the identification of a data analytics problem). More specifically, how Principal Component Analysis (PCA) can be used to reduce the dimensions of data in a data analytics problem. The assignment […]





