Machine Learning Operations Project - HdM x Bosch

We conducted this machine learning project as part of the implementation of MLOps lifecycle. The task was to find a suitable use-case for machine learning. Extract and transform data and train a model of our own. And implement the supporting technology to monitor and continously improve the process.

Technology stack:

• Databricks: Apache Spark + Delta Lake
• Airflow (MWAA): TensorFlow Extended

All code was tested and development on an AWS EC2 instance with GPU support.

Project Members

Pascal Illg

Niklas Denneler

Project status

This project was done as part of a university course under the guidance of Prof. Jan Kirenz. It will not be developed further. If you need any help running the code feel free to reach out to us.

Project Documentation

More detailed information and the documentation of the project can be found under the following link