Machine Learning, Data Science, Algorithms, Dimensionality Reduction, Cheatsheet.
To reduce the dimensionality, Principal Component Analysis (PCA) uses the projection of the original data into the principal components. The principal components are orthogonal vectors that describe the maximum amount of residual variation (they are found using Singular Value Decomposition). PCA of