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Homework — MLOps Zoomcamp Module 2
[Notes/General Docs on MLflow by Ayoub](https://gist.github.com/Qfl3x/ccff6b0708358c040e437d52af0c2e43) [Minimalist MLflow code reference by Anna V](https://github.com/annnvv/mlops_zoomcamp/blob/main/notes/module2_notes_MLflow.md) [Notes...
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MLOps Zoomcamp › Module 2: Experiment Tracking & Model Management › Homework
Notes
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- Notes/General Docs on MLflow by Ayoub
- Minimalist MLflow code reference by Anna V
- Notes from second lesson by Neimv
- 2nd Week Experiment & Tracking notes by Ayoub.B
- Experiment tracking (jupyterbook) by particle1331
- Week 2: Experiment & Tracking Notes by Bengsoon Chuah
- 2.4 Model Management Notes by Alvaro Pena
- Notes by Alvaro Navas
- Notebook from froukje and notes
- Blog post on setting up MLFlow on GCP by Isaac Kargar.
- Week2: Experiment tracking notes and notebook by Bhagabat
- Notes of ML-flow by Jaime Cabrera-Salcedo
- Experiment tracking with MLflow by Hongfan (Amber)
- Running MLflow with Docker and on Minikube
- Chapter 2: Full Notes by Marcus
- Experiemnt Tracking and Mlflow by Annaliese Tech
- Adding Hyperparameter Tuning to Your Notebook with MLflow and Hyperopt by Annaliese Tech
- MLFlow setup and Experiment Tracking by Hokfu
[2025 Cohort Notes on MLflow & Hyperopt by Gabi Fonseca](https://github.com/fonsecagabriella/ml_ops/blob/main/02_experiment_tracking/__notes.md) * [Homework 2 Experiment and Tracking article by Srikanth Ganji](https://medium.com/@srikanth.unix07/mlops-zoomcamp-2025-homework-2-experiment-tracking-with-mlflow-4ea1ed783531) * [Week-2 - Detailed Notes of MLFlow, Experiment Tracking, Notebooks, Homework by Muhammad Shifa](https://github.com/MuhammadShifa/mlops-zoomcamp2025/blob/main/02-experiment-tracking/README.md) * Send a PR, add your notes above this line
Key concepts
Related notes
- mlops-m01-2-vm-in-aws
- mlops-m01-homework
- mlops-m01-optional-training-a-ride-duration-prediction-mod
- mlops-m02-experiment-tracking-intro
- mlops-m02-experiment-tracking-with-mlflow
- mlops-m02-getting-started-with-mlflow
- mlops-m02-mlflow-benefits-limitations-and-alternatives
- mlops-m02-mlflow-in-practice
- mlops-m02-model-management
- mlops-m02-model-registry
- mlops-m03-homework
- mlops-m03-turning-the-notebook-into-a-python-script
- mlops-m03-using-an-orchestrator
- mlops-m04-mlops-zoomcamp-4-6-batch-scoring-with-mage
- mlops-m04-web-services-deploying-models-with-flask-and-doc
- mlops-m04-web-services-getting-the-models-from-the-model-r
- mlops-m05-debugging-with-test-suites-and-reports
- mlops-m06-homework
- mlops-m06-integration-tests-with-docker-compose
- mlops-m07-course-project
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