A machine learning project for customer segmentation using the DBSCAN density-based clustering algorithm on the Wholesale Customers dataset. The project identifies purchasing patterns, detects outliers, analyzes customer behavior, and visualizes cluster differences across spending categories.
python data-science machine-learning clustering numpy scikit-learn exploratory-data-analysis pandas data-visualization seaborn matplotlib outlier-detection unsupervised-learning dbscan business-analytics customer-segmentation standardscaler minmaxscaler retail-analytics wholesale-customers
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Updated
Nov 29, 2025 - Python