K-means_customer_segmentation and customer-segmentation-ml
About K-means_customer_segmentation
erenonal/K-means_customer_segmentation
Using K-Means algorithm for customer segmentation due to credit card behavior
This project helps banks and credit card companies understand their customers' spending habits to develop more effective marketing strategies. It takes credit card transaction data, including balances, purchase types, and payment frequencies, and organizes customers into distinct behavioral groups. The output is a clear segmentation of customers, detailing their unique spending profiles, which is valuable for marketing managers and strategists.
About customer-segmentation-ml
Man2Dev/customer-segmentation-ml
Customer Segmentation for Marketing Optimization K-Means clustering on credit card data.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work