/machine-learning-jupyterlab-docker

A notebook workstation for ML professionals, dockerized

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

🐔 Machine Learning Jupyterlab Docker

A notebook workstation for ML professionals, dockerized.

  • one command install and run
  • JupyterLab included
  • major python data science libraries included
    • numpy
    • pandas
    • scikit-learn
    • plotly
    • you can install other libraries easily

Prerequisites

You just need to install Docker and Docker Compose on your machine.

Run

  • When you start a new project, just download and extract this repo on your machine, or clone it from terminal:

      git clone https://github.com/pieroit/machine-learning-jupyterlab-docker.git

  • Jump into the folder

      cd machine-learning-jupyterlab-docker

  • Launch workstation. The first time it will take a while since docker must build the image, but after that you will be on board in a matter of seconds

      docker-compose up

  • You will see a link in the terminal, click on it and JupyterLab will open in the browser. Everything you do in JupyterLab will be reflected on your machine in the project/ folder.

  • When you finish, stop the terminal:

      CTRL + c

  • Bring down the docker container

      docker-compose down

  • Enjoy!

Credits

Brought to you by Pollo Watzlawick