Repository from the Machine Learning Hackathon at FHWS

• Tutorial-Slides: introduction.pdf

• Tutorial-Notes: intro_notes.pdf

• Competition Data: dataset.csv

• Competition Notebook of your solution: notebook.ipynb

1. Clone the repository.
2. Use the competition notebook (notebook.ipynb) to present your final solution. Fill the required cells with your solution.
3. Rename it to your team name or number.
4. The notebook and dataset.csv plus any additional data/files plus should be zipped.
5. Rename zip-file to your team name or number.
6. Send the zip file to [email protected]. The file must not be larger than 50mb!

• Please ensure that the notebook plus the files are runnable as standalone from a computer with python > 3.5
• The last cell of the notebook should show the evaluation of dataset. This cell loads the evaluation data which will determine the final winner. This cell should use your preprocessing steps etc. and ouput the accuracy of your trained model.
• The model should be from type scipy or keras!
• The cell can be tested by merely renaming the dataset to evaluation.csv
• Only this last cell will be evaluated. Hence, make sure this contains everthing to obtain your best performance.