This is a demo ML project used to show the main features of MLflow in the second edition of the "Software Engineering for AI-enabled Systems" course (University of Bari, Italy - Dept. of Computer Science).
The scripts used in this project are freely inspired by the Kaggle Tutorial "Intermediate Machine Learning". Accordingly, the example uses data from the Housing Prices Competition for Kaggle Learn Users.
To setup this project, create a Python virtual environment and install the requirements listed in requirements.txt.
pip install -r requirements.txt