The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

Classification Model of Potential Credit Card Customers

Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.