GitHub - NehashriN/Credit-Card-Customer-Segmentation: Cluster the credit card users into different groups to find any meaningful patterns. Use Principal Component Analysis (PCA) to reduce the dimension of the feature space and then use the K-means algorithm to find clusters. Import relevant Python libraries.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
CC GENERAL.csv		CC GENERAL.csv
Credit Card.html		Credit Card.html
Credit Card.ipynb		Credit Card.ipynb

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Cluster the credit card users into different groups to find any meaningful patterns. Use Principal Component Analysis (PCA) to reduce the dimension of the feature space and then use the K-means algorithm to find clusters. Import relevant Python libraries.

principal-component-analysis unsupervised-machine-learning kmeans-clustering-algorithm