Demystifying Principal Component Analysis: Handling the Curse of Dimensionality

Generally, in machine learning problems, we often encounter too many variables and features in a given dataset on which the machine learning algorithm is trained. The higher the number of features in a dataset, the harder it gets to visualize and to ...