Machine Learning and Bus Delay Prediction

In this repository you find the revised bus delay prediction from the MünsterHack 2017.

Running notebooks with Docker

To run the notebooks in a ready to use environment run

$ docker-compose up

Go to 127.0.0.1:8888 and enter the token from the console. All the notebooks should be ready to be executed in JupyterLab.

Instead of a running the notebook on a Docker image, you can install the necessary packages via pip.

$ pip install -r requirements.txt

As HTML version

$ python -m bookbook.html

As PDF version

$ python -m bookbook.latex --pdf --template wrap_article

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
figures		figures
.gitignore		.gitignore
00-Introduction.ipynb		00-Introduction.ipynb
01-cleaning.ipynb		01-cleaning.ipynb
02-weather_feature.ipynb		02-weather_feature.ipynb
03-holidays_feature.ipynb		03-holidays_feature.ipynb
04-feature_merging.ipynb		04-feature_merging.ipynb
05-feature_preprocessing.ipynb		05-feature_preprocessing.ipynb
06-prediction.ipynb		06-prediction.ipynb
Dockerfile		Dockerfile
README.md		README.md
docker-compose.yml		docker-compose.yml
haltestelle.py		haltestelle.py
requirements.txt		requirements.txt
run_all.sh		run_all.sh
wrap_article.tplx		wrap_article.tplx
zaehlstelle_wolbecker_2016_stundenauswertung.csv		zaehlstelle_wolbecker_2016_stundenauswertung.csv