A comprehensive unsupervised learning project analyzing credit card customer behavior. By integrating PCA for dimensionality reduction, t-SNE for manifold visualization, and a hybrid clustering approach (K-Means + DBSCAN), this report identifies four distinct behavioral personas: The VIP Shoppers, The Active Transactors, The Revolving Borrowers, and The Inactive users. Includes technical justifications for median imputation, feature scaling, and outlier detection to drive strategic financial recommendations.

This project aims to apply various clustering techniques to the Global Crocodile Species Dataset.