There are many techniques to decompose features into a smaller subset. This can be useful for exploratory data analysis, visualization, making predictive models or clustering. In this tutorial, you will discover the Principal Component Analysis for dimensionality reduction.

The main idea of Principal Component Analysis (PCA) is to reduce the…