Interpretable Machine Learning: Exercise 01.

Solve the tasks within exercise.ipynb to complete this weeks exercise.

Instructions

Hint: If you have already completed the instructions in a previous exercise, you are invited to reuse the environment and start from point 5.

1. Look up your ErgebnisPIN from the iML lecture inside studip. Change the content in ergebnispin.txt accordingly. Please do NOT mention any other information like name or matrikelnummer.
2. Install the open-source-distribution anaconda.
3. Create a new environment and activate it. If you already created an environment for a previous exercise, feel free to reuse it and continue with point four.
4. Inside this environment, install pip with conda install pip.
5. Install requirements with pip install -r requirements.txt.
6. Open jupyter notebook with jupyter notebook and open the file exercise.ipynb. Alternatively, some programs offer integrated jupyter notebook editor.
7. Test all of your solutions with pytest test.py (if available).
8. Push your solution to your repository.

It's mandatory to not add or remove any cells.

Copyright

Dataset from kaggle.