Customer Segmentation

This project focuses on practicing the use of Machine Learning to perform customer segmentation using clustering. Some of the skills and techniques used in this project include: exploratory data analysis, working with dates, using the K-Means model for clustering, using One Hot Coding for categorical columns, the "Elbow" method for choosing the number of clusters, dimensionality reduction using T-SNE, and analyzing each cluster using mean, mode, and other indicators.