Principal component analysis, or PCA in short, is famously known as a dimensionality reduction technique. It has been around since 1901 and is still used as a predominant dimensionality reduction method in machine learning and statistics. PCA is an unsupervised statistical method. In this article, we will have some intuition about PCA and will implement […]
