This repo contains notebooks/data that were using during workshop at Applied Machine Learning Days in Lausanne, split into three branches:
- master -> completed notebook with sample output and all the blank fields filled for you!
- feature/notebooks-with-exercises -> actual notebooks with excerciess that were presented during
- feature/best-model -> notebook with model with highest accuracy we achieved after short tuning. Try to beat that and let us know how =]!
- Reccomended way is to setup your own python3 virtual environment. You can follow eg. those steps https://sourabhbajaj.com/mac-setup/Python/virtualenv.html
- Install necessarry packages
pip install -r requirements.txt - Run your notebook
jupyter notebook
If you just want to skim through what the possible output would be, feel free to checkout to feature/notebook_with_outputs branch and browse the notebooks.
Feel free to submit your own Issue/PR here! If you have interesting comments on the workshop content, you can also contact us via Twitter (https://twitter.com/unit8co).