MLOps Project
Note: Due to problems with Git LFS, this repo is not clonable. You will have to download it as a .ZIP file.
Project done as part of the Machine Learning Operations course at Nova IMS.
There are some limitations due to time constraints, but overall this project shows the ability to implement modular code, and implement an end-to-end ML workflow pipeline following the best MLOps practices.
Final work provided as was delivered.
Main tools used: Kedro, MLflow, HopsWorks, GreatExpectations, Evidently, Optuna, Docker