{"data":{"full_name":"beckyydo/retail-machine-learning","name":"retail-machine-learning","description":"Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm","stars":16.0,"forks":12.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"retail-sales-forecasting","last_pushed_at":"2021-06-14T00:12:32+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":6.0,"maturity_score":8.0,"community_score":18.0,"quality_score":32.0,"quality_tier":"emerging","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T06:28:16.632364+00:00"}}