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.
- Clone this repo & run
docker build . -t mldocker
- Run
docker run -it -p 8888:8888 -v $(pwd)/notebooks:/jupyter mldocker
- Open http://localhost:8888
- Create something awesome!
With docker-compose:
- Clone the repo
- Run
docker-compose up
- Open http://localhost:8888
- Create something awesome!