Affectionate Matsumoto
Total Score: 54
Homework submissions
Homework 1: Introduction
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 2: Experiment Tracking
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 3: Training Pipelines
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/fareedahamid_mlops-machinelearning-mageai-activity-7337437713861681154-luNT?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC6ENJwBbZtzP4Zpk4ehD2p4EN3Y3XaSyxM
- https://medium.com/@fareedahab/from-raw-taxi-trips-to-registered-models-my-week-3-mlops-journey-with-mage-and-mlflow-96625920fbe5
Homework 4: Deployment
Score: 10 = 6 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://huggingface.co/spaces/MonaHamid/mlops-batch-inference
- https://www.linkedin.com/posts/fareedahamid_mlops-machinelearning-prefect-activity-7339683903206539264-4dVU?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC6ENJwBbZtzP4Zpk4ehD2p4EN3Y3XaSyxM
- https://app.prefect.cloud/account/90dedf27-22a6-464c-996e-9f25cc803a20/workspace/e9132da7-d9b8-4e1b-a050-85257bbd89ad/runs/flow-run/0684d9a9-373a-7c77-8000-3b0169f0ffa1?entity_id=0684d9a9-373a-7c77-8000-3b0169f0ffa1&state=failed
- https://medium.com/@fareedahab/from-local-script-to-cloud-orchestration-my-mlops-zoomcamp-journey-with-prefect-and-hugging-face-02dc9af72e35
Homework 5: Monitoring
Score: 10 = 6 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/fareedahamid_mlops-datascience-machinelearning-activity-7342929439594332161-DuNP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC6ENJwBbZtzP4Zpk4ehD2p4EN3Y3XaSyxM
- https://medium.com/@fareedahab/building-a-production-ready-mlops-monitoring-architecture-from-drift-detection-to-automated-alerts-cd8d48c4c79d
- https://mlops1.hashnode.dev/mlops-monitoring-architecture-keeping-your-models-healthy-in-production
- https://dev.to/mona_hamid/-building-an-mlops-monitoring-architecture-that-actually-works-4j0f
Homework 6: Best Practices
Score: 12 = 6 (questions) + 0 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/fareedahamid_mlopszoomcamp-mlops-machinelearning-activity-7344701453107675137-GM--?utm_source=share&utm_medium=member_desktop&rcm=ACoAAFBIfT0BJ7aI2A8Gm4qvBOey5zBvwjhTLNY
- https://x.com/hamid_mona45212/status/1938937599571452095
- https://x.com/hamid_mona45212/status/1938937780870197575
- https://x.com/hamid_mona45212/status/1938937903071273379
- https://medium.com/@fareedahab/transforming-notebook-prototypes-into-production-ml-code-3c11dc7902b7
- https://mlops1.hashnode.dev/mlops-best-practices-testing-machine-learning-pipelines
Project submissions
No project submissions found.