Welcome to the repository of the ITS.ML research project. For more information on the project itself, please visit our homepage or get in touch with us on Twitter @_its_ml.
This repository contains the code of all notebooks presented on our homepage, exemplifying how machine learning approaches may be used to address challenges for industrial practice.
To execute any of the notebooks, set up a virtual python environment either using virtualenv (installation guide) or conda (installation guide)
- Call the environment 'its-ml', so the kernel will be pre-selected in the notebooks
- The notebooks are tested on python 3.7