azzaelnaggar / Credit_Card-Customer-Segmentation

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Credit_Card-Customer-Segmentation

This case requires to develop a customer segmentation to define marketing strategy. The sample Dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months.

Requirments

  • evaluate the difference between data transformation techniques

  • Is PCA better than Kernel PCA?

  • Is silhouette score best metric do use, try different evaluation metrics and comment on the result

  • try all unsupervised algorithms that you studied

  • compare between EM and DBSCAN and isolated random forest as anomaly detection algorithm

  • justify all your chooses and comment on every result

  • show how result of T-SNE differs with every choose you made

DataSet

https://www.kaggle.com/datasets/arjunbhasin2013/ccdata

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