Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
Quick note: Unsupervised learning Algorithms are those which are trained without the target variable. While Supervised Learning Algorithms are those in which the data set will have a target or a labeled column. How does PCA achieve dimension reduction? 1.Principal Component analysis reduces high