/ml-starter

Primary LanguagePython

Machine Learning With Docker

A docker image with serveral machine learning tools installed. Based on tensorflow/tensorflow

Includes

  • Python
  • Tensorflow
  • Scikit Learn
  • Pandas
  • Numpy
  • PIP
  • PYMSQL
  • psycopg2
  • urllib
  • BeautifulSoup4
  • currencyconverter

Setup

  1. Install Docker

  2. Create folder (ex: my-project) to share with docker container

  3. Download latest docker image

    docker pull chchannn/ml-starter

  4. Start docker container with shared notebook folder, please change your folder path accordingly:

    docker run -i -t -p 8888:8888 -v /your/my-project/path/:/notebooks/ chchannn/ml-starter

    On Windows it looks like docker run -i -t -p 8888:8888 -v /c/my-project/:/notebooks/ chchannn/ml-starter

    On macOS it looks like docker run -i -t -p 8888:8888 -v ~/my-project/:/notebooks/ chchannn/ml-starter

  5. Visit localhost:8888 to login and use Jupyter server

  6. Default Jupyter password is ml-starter

  7. Optional - Change default memory

    docker-machine stop

    VBoxManage modifyvm default --cpus 2

    VBoxManage modifyvm default --memory 4096

    docker-machine start