parrotprediction/course-xgboost repository overview

⁠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.