An example data science project using Mlflow. Detailed blog post on:
Enable the virtual python environment with
pipenv shell
and setup a local environment with
pipenv install --dev
download the raw data
make raw-data
and start the project services with
make jupyter
All further project targets are automated in the Makefile and via Jupyter notebooks.