The essence of PCA is to find the directions of maximum variance in high dimensional data, and project it into a smaller dimensional space while still retaining most of the information. The mpg/mtcars ...

This tutorial notebook provides a comprehensive guide on how to use Principal Component Analysis (PCA) and Agglomerative Clustering in Python for dimensionality reduction and hierarchical clustering, ...