batch-scoring

Here are 4 public repositories matching this topic...

brnaguiar / mlops-next-watch

MLOps project that recommends movies to watch implementing Data Engineering and MLOps best practices.

airflow spark aws-s3 grafana postgresql prometheus artificial-intelligence data-engineering minio recommender-system movie-recommendation dvc mlops mlflow batch-inference batch-scoring

Updated Jul 15, 2024
Jupyter Notebook

DAhmedGH / Credit-Risk-Decision-Science

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Reproducible credit-default modeling in Python with PostgreSQL ingestion, XGBoost, SHAP explanations, calibration analysis, simulated lending policies and portable batch scoring.

python docker data-science machine-learning postgresql xgboost model-evaluation probability-calibration credit-risk mlflow shap github-actions scitkit-learn batch-scoring

Updated Oct 11, 2026
Python

luisfedrizi / delivery-delay-risk-pipeline-bigquery

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Production-style batch ML pipeline for delivery lead-time risk scoring using Python, SQL and BigQuery.

python bigquery machine-learning sql scikit-learn data-pipeline analytics-engineering batch-scoring

Updated Apr 8, 2026
Python

MallikaChunduru / claims-denial-radar

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Flags healthcare claims likely to deny before submission, cutting simulated rework cost 38.5% on held-out future claims. Leakage-safe DuckDB SQL feature layer, calibrated sklearn models compared on a time split, cost-based decision threshold, batch CLI scoring 45k claims/sec. Synthetic data only, no PHI.

python machine-learning scikit-learn class-imbalance probability-calibration synthetic-data cost-sensitive-learning duckdb healthcare-analytics batch-scoring revenue-cycle-management claims-denials sql-feature-engineering

Updated Aug 11, 2026
Python

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