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deepchecks

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End-to-end MLOps pipeline for Telco Customer Churn. Hydra + DVC + MLflow + XGBoost (hyperopt-tuned with scale_pos_weight) + BentoML 1.2 service + GitHub Actions deploying to GHCR. Test-set-leakage-free training, 38 tests (Pandera + pytest-steps + Deepchecks + HTTP integration), all 8 phases adversarially reviewed by Opus.

  • Updated May 25, 2026
  • Python

Deep learning-driven cache eviction policy using LSTM forecasting and uncertainty estimation, deployed as a production microservice with a full MLOps pipeline.

  • Updated Apr 19, 2026
  • Python

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