This is a project for Udacity's Machine-Learning Nanodegree. It uses unsupervised learning algorithms to cluster customers into groups based on purchasing data.

Concepts explored in this project:

• Unsupervised learning algorithms like K-Means Clustering and Gaussian Mixture Model Clustering
• Feature Scaling
• Dimensionality reduction using Principle Component Analysis
• Outlier identification and removal
• Silhouette scores

Relevant Classes:

• Intro to Machine Learning

To view the project, open customer_segments.html in a web browser.