{"data":{"full_name":"Tanwar-12/Churn-Modeling-Using-ANN","name":"Churn-Modeling-Using-ANN","description":"  Churn modeling using Artificial Neural Networks (ANNs) involves building a predictive model to identify customers who are likely to churn (stop using a service or product). ANNs, a type of machine learning model inspired by the human brain's neural structure, can be effective for capturing complex patterns in data. ","stars":6.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"ann-churn-prediction","last_pushed_at":"2023-04-17T07:47:21+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":4.0,"maturity_score":8.0,"community_score":0.0,"quality_score":12.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T10:09:09.787045+00:00"}}