{"data":{"full_name":"Arnav2722/Autism_Prediction","name":"Autism_Prediction","description":"This project builds an end-to-end machine learning pipeline to predict Autism Spectrum Disorder (ASD) using behavioral, demographic, and screening data. It includes data cleaning, exploratory analysis, feature engineering, handling class imbalance with SMOTE, and training multiple models (Decision Tree, Random Forest, XGBoost). ","stars":2.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"autism-spectrum-detection","last_pushed_at":"2026-03-27T16:35:00+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":13.0,"adoption_score":2.0,"maturity_score":1.0,"community_score":0.0,"quality_score":16.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T16:58:15.522393+00:00"}}