{"data":{"full_name":"aydenfromproxima/HR_Data_Analysis","name":"HR_Data_Analysis","description":"A data-driven HR analytics project analyzing employee demographics, performance metrics, salary factors, and correlations. Includes data cleaning, outlier removal, visualization, feature engineering, and multiple ML models—achieving 99%+ accuracy in salary prediction using Random Forest and XGBoost.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"employee-attrition-analytics","last_pushed_at":"2026-02-10T17:52:50+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":10.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T00:31:59.905002+00:00"}}