Customer Segmentation in Python

In this project, I approach a customer purchase dataset, and explore the intricacies of such a dataset. I learn the basic underlying ideas behind Principal Component Analysis, Kernel Principal Component Analysis, and K-Means Clustering. Paired with industry knowledge and auxiliary modeling concepts, I segment the customers of a certain store, and find similarities and differences between different clusters using unsupervised machine learning techniques.