MLOPS Learning

MLOPS training based on MLOPS Zoomcamp course offered by DataTalks.Club. The course was taught by different experts in the field. The chapters were taught as follows

• Chapter 1: Introduction to MLOPs by Alexey
• Chapter 2: Experiment tracking by Christian
• Chapter 3: Orchestration by Biance and Jeff
• Chapter 4: Model deployment by Alexey
• Chapter 5: Monitoring by Emily Dral
• Chapter 6: Best practices by Sejal and Alexey

Tech Stacks

The technoloy stacks used in this course includes

• MLflow
• Prefect
• ML: scikit-learn, XGBost, hyperopt, optuna
• Deployment: docker, lambda, kinesis
• Evidently

Notes:

• MLOPS maturity model: https://docs.microsoft.com/en-us/azure/architecture/example-scenario/mlops/mlops-maturity-model

Tools used in this project

• Poetry: Dependency management - article
• hydra: Manage configuration files - article
• pre-commit plugins: Automate code reviewing formatting
• DVC: Data version control - article

Final capstone project:

Full end-to-end Machine Learning pipeline project will be done. It is located at ...