EDA analysis _ Gabriel Lopes Guidi

This project applies five clustering methods K-Means, K-Median, DBSCAN, Mean Shift, and Fuzzy C-Means to segment credit card customers based on their usage behavior. The analysis uses the Credit Card Dataset from Kaggle with 8,950 observations and 17 numerical variables. Methods are evaluated using Silhouette Score, Dunn Index, and Calinski-Harabasz Index, with K-Means identified as the best-performing method. The findings reveal three distinct customer segments that can serve as a basis for further behavioral analysis.

Limpieza y transformación de los datos del BCV para realizar una gráfica del comportamiento de PIB por sector industrial.

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