Image Processing, Data Visualization, Data Science, Python, Linear Algebra.
transfers the variance of the second variable onto the first variable by translation and rotation of original axes and projecting data onto new axes. The direction of projection is determined using eigenvalues and eigenvectors. So, the first few transformed features (termed as Principal Components)