PCA -- Machine Learning Algorithms with Implementation in Python

Principal Component Analysis (PCA) is a Machine Learning algorithm used for various applications such as dimensionality reduction, data/image compression, feature extraction, and so on. The most common usage of PCA is dimensionality reduction (and we will see that in action below). PCA is basically used to extract/find patterns in a given dataset.