Customer Segmentation with K-Means Clustering in Python — A Practical Guide

Not all customers are the same. Some spend big and buy often. Others browse a lot but rarely purchase. Some are loyal; others are one interaction away from leaving. Customer segmentation is how businesses group their customers into meaningful clusters so they can be able to tailor strategies for each group. And K-Means clustering is one of the most widely used unsupervised machine learning algorithms to do exactly this. In this tutorial, I will walk you through building a complete segmentation pipeline in Python from data preparation to business recommendations.