Unsupervised Learning and Dimensionality Reduction

Used datasets:

1. Default of Credit Card Clients
   
2. White Wine Quality

Summary:

• Applied K-means, EM clustering algorithms to two datasets before and after dimensionality reduction
• Added clustering labels as a new feature to the initial datasets. Tested improvement in performance of Neural Networks on the modified datasets