{"data":{"full_name":"QuantumCoderrr/Customer_Seg","name":"Customer_Seg","description":"📊This project applies unsupervised machine learning techniques to segment customers based on spending behavior and demographic patterns. By leveraging K-Means clustering, we uncover hidden customer groups that can be useful for targeted marketing strategies. It’s a classic EDA + ML combo ideal for aspiring data scientists","stars":2.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"customer-segmentation-clustering","last_pushed_at":"2025-02-23T06:53:55+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T17:59:59.243191+00:00"}}