Originaly forked from rothnic/anaconda-notebook. Go there to see original README.
- uses python2 anaconda instead of python3 one
- installs xgboost
- Clone this repo and
cd
into it's root - Build your image with
docker build -t <arbitrary/tag> .
- After the image building is done, you can launch your data science virtual env with
docker run -v </host/folder>:</docker/folder> -p 8888:8888 -i -t <your/arbitrary/tag>
.
Personally I use this for kaggle competitions. First I prepare a cometition folder on my system by creating input
and scripts
folder and I put all competition data into input
. Then I share this competition folder with container using -v
docker option and I use scripts
folder to store my notebooks.