Machine Learning stack for Docker

Kickstart your Machine Learning experiments with Python 3.6, Jupyter Notebook, Docker and multiple libraries & tools.

Libraries included:

• Jupyter
• Keras
• MRJob
• Matplotlib
• NLTK
• Numpy
• OpenCV
• Pandas
• Requests
• Scikit-learn
• Scipy
• Seaborn
• Spark
• Tensorflow

Getting started

Make sure you have Docker installed.

1. Clone this repo & run docker build . -t mldocker
2. Run docker run -it -p 8888:8888 -v $(pwd)/notebooks:/jupyter mldocker
3. Open http://localhost:8888
4. Create something awesome!

With docker-compose:

1. Clone the repo
2. Run docker-compose up
3. Open http://localhost:8888
4. Create something awesome!