An unsupervised learning algorithm technique called Principal Component Analysis (PCA) is used to look at how a set of variables relate to one another. PCA is the most widely used tool in exploratory data analysis and in machine learning for predictive models. PCA is a dimensionality reduction technique that is reducing the number of variables… Continue reading Principal Component Analysis