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What is Credit Card Data Clustering Analysis about?

The document outlines a data analysis process using Python, focusing on customer credit card data from a CSV file. It includes data preprocessing steps such as handling missing values, scaling, and applying PCA for dimensionality reduction, followed by clustering using KMeans and Agglomerative Clustering. Visualizations are provided to illustrate the clustering results and the optimal number of clusters is determined to be three.

Author

Abdelrahman Sherif

Language

EN