Unsupervised Learning

This notebook goes through two of the main unsupervised learning techniques;

• Dimensionality Reduction: Principal Component Analysis (PCA)
• Clustering: K-Means Clustering

The wholesale customers dataset from the UCI machine learning repositary was used.

The following questions were identified from the data and was aimed to answer through the analysis.

1. Do the spending patterns of customers differ based on region and channel?
2. Can customers be segmented into groups based on their spending patterns?