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Datasets for this notebook consists of credit card usage behavior of customers with 18 behavioral features. Segmentation of customers can be used to define marketing strategies.

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Credit Card Data Clustering

Model

K-Means:
- Silhoutte score: 98%
Agglomerative Clustering:
- Silhoutte score: 98%
Gaussian Mixture:
- Silhoutte score: 98%

Technologies:

Programming Language: Python
Libraries: Pandas, Scikit-learn, Matplotlib, Numpy

Data Source:

Credit Card Dataset for Clustering

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Datasets for this notebook consists of credit card usage behavior of customers with 18 behavioral features. Segmentation of customers can be used to define marketing strategies.

clustering scikit-learn pandas gaussian-mixture-models k-means agglomerative-clustering

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