killercodes/scikitlearn repository overview

⁠A Simple Docker Data Science Image

Docker allows data scientists to create isolated and reproducible environments for their work.Some key advantages of this Docker include:

• numpy
• pandas
• matplotlib
• scikit-learn
• jupyter

⁠How to use this image

⁠Pull this image

To use this images you need to pull it in your environment using

docker pull killercodes/scikitlearn:tagname

Here the tagname is given as per the python version. So if you want to use python 3.9 use

docker pull killercodes/scikitlearn:py39

⁠Run the image

To run this image use

docker run -p 8888:8888 --name scikitlearn killercodes/scikitlearn:tagname

This will start a Jupyter Lab instance and map port 8888 on the host to 8888 in the container.

We can now navigate to localhost:8888 in a browser to access Jupyter and start running notebooks!