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This project builds a regression model to predict the daily revenue of a coffee shop based on various operational features such as customer count, average order value, marketing spend, and foot tra…
Mall Customer Segmentation using clustering algorithms (K-Means, DBSCAN, Hierarchical). This project explores and compares different methods to group customers based on demographics and spending, h…