Data Science, Big Data, Data Mining, Data, Feature Engineering.
transform our data using Eigenvectors into principal components. Lastly, we quantify the importance of these relationships using Eigenvalues and keep the important principal components. The new features that are created by PCA are orthogonal, which means that they are uncorrelated. Furthermore,