ParrotPrediction / Docker Course Xgboost
Materials for an online-course - "Practical XGBoost in Python"
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Practical XGBoost in Python Docker Container
The following container comes with pre-installed tools required to complete the free Practical XGBoost in Python online course.
What's included
- Python 3.5
- Jupyter Notebook
- Numpy
- Pandas
- Scikit-learn
- XGBoost
- Matplotlib
- Seaborn
Requirements
To successfully spin up container please make sure that Docker Engine and Docker Compose are properly installed. If you have troubles please refer to Docker homepage.
Verify if everything looks good by typing:
$ docker -v
Docker version 1.11.1, build 5604cbe
$ docker-compose -v
docker-compose version 1.7.1, build 0a9ab35
Running container
Use created Docker Compose file to provision new container. It will expose Notebook on port 8888 and mount notebooks/ directory.
Inside directory:
$ docker-compose up -d
And in your browser proceed to localhost:8888.
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