Credit risk prediction using machine learning, ensemble modeling, Optuna optimization, SHAP explainability, fairness analysis, and interactive deployment.
-
Updated
Jun 29, 2026 - Jupyter Notebook
#
fairness-analysis
Here are 5 public repositories matching this topic...
AI fairness and bias assessment of an arrest-prediction model using NYPD Stop-and-Frisk data, explainability methods, fairness metrics, proxy detection, and bias mitigation techniques.
-
Updated
Jan 2, 2026 - Jupyter Notebook
Clinical data science pipeline predicting 30-day hospital readmission using MIMIC-III ICU data — featuring ICD-9 comorbidity engineering, lab biomarker extraction, SHAP explainability, fairness audit, and Streamlit dashboard
python healthcare xgboost ehr mimic-iii mlflow shap clinical-data-science streamlit fairness-analysis
-
Updated
Apr 3, 2026 - Jupyter Notebook
A fairness analysis of Federal sentencing practices in the US using United States Sentencing Commission Public Data.
python data-science r sql data-visualization statistical-analysis data-analytics criminal-justice capstone-project fairness-analysis
-
Updated
Apr 21, 2026 - Jupyter Notebook
This repository contains structured AI audit case studies using simulated datasets generated with generative AI assistance. Each case study follows a full audit report format, from dataset overview to findings, recommendations, and limitations.
python jupyter-notebook pandas data-audit ai-ethics ai-governance ai-audit fairness-analysis resposible-ai
-
Updated
May 15, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the fairness-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fairness-analysis topic, visit your repo's landing page and select "manage topics."