Solve the tasks within exercise.ipynb to complete this weeks exercise.
Hint: If you have already completed the instructions in a previous exercise, you are invited to reuse the environment and start from point 5.
- Look up your ErgebnisPIN from the iML lecture inside studip. Change the content in
ergebnispin.txtaccordingly. Please do NOT mention any other information like name or matrikelnummer. - Install the open-source-distribution anaconda.
- 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.
- Inside this environment, install pip with
conda install pip. - Install requirements with
pip install -r requirements.txt. - Open jupyter notebook with
jupyter notebookand open the fileexercise.ipynb. Alternatively, some programs offer integrated jupyter notebook editor. - Test all of your solutions with
pytest test.py(if available). - Push your solution to your repository.
It's mandatory to not add or remove any cells.
Dataset from kaggle.