risk-model

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

Package to build risk model for factor pricing model

Survival modelling using Cox proportional hazard regression model

risk3r

Coursera course for AI in Medicine. From healthcare terminologies to machine learning, deep learning. Diagnosis of cancer in chest x-ray to risk models.

Barra-style multi-factor risk model & risk attribution: cross-sectional WLS factor returns, Ledoit-Wolf shrinkage covariance, factor vs specific risk decomposition. Offline via a panda_data adapter. Research/education only, not investment advice.

Node.js application with OpenAI API to create a chatbot app

Build a USE4-style (Barra) equity factor risk model from scratch on Sharadar data — specs + a full textbook; you write the code.

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

SDMC source-available non-commercial cyber intelligence decision and risk model created by Edwin Javier Peñuela Camacho

This project builds and validates a CDI risk assessment model based on UCSF inpatient data

Документация по расчетам индексов, метрик и аналитических показателей, используемых на платформе [ZERNO]

Privacy-safe and reproducible early-retirement risk ranking pipeline

Privacy-safe local risk intelligence Agent for explainable rules, PSI drift monitoring, institution stability analysis, and MCP/CLI workflows.

Predicts nonprofit risk of losing exempt status. Trained on 1.8M IRS records

Transparent scenario-based systemic-risk model comparing 23 interacting global threats across civilizational, biospheric, and technological domains, using structured JSON data as its primary input source.

Monte Carlo simulation of aggregate insurance claims under the Collective Risk Model using R.

Always-on reproductive-access threat tracker — fuses 50-state legislation, federal courts, and agency actions into one early-warning feed, with signal-vs-coverage gap analysis and a calibrated risk model under the hood.