Machine Learning with Python
In this repo you can find simple examples of running ML with Python in a Red Hat Fedora container.
ML Supervised samples
ML Unsupervised samples
Base ML scripts used in my personal contribution to Data Driven Astrophysics with ML.
$ git clone https://github.com/bchardim/python-ml.git
$ cd python-ml
$ sudo docker build -t fedora-python-ml .
$ bash docker-run-notebook.sh
[I 11:05:23.661 NotebookApp] Writing notebook server cookie secret to /astropy/.local/share/jupyter/runtime/notebook_cookie_secret
[I 11:05:23.760 NotebookApp] Serving notebooks from local directory: /astropy
[I 11:05:23.761 NotebookApp] 0 active kernels
[I 11:05:23.761 NotebookApp] The Jupyter Notebook is running at:
[I 11:05:23.761 NotebookApp] http://0.0.0.0:8888/?token=5464317c3d8db60fe68695d47da10cc32a974b6c9badae05
[I 11:05:23.761 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 11:05:23.761 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://0.0.0.0:8888/?token=5464317c3d8db60fe68695d47da10cc32a974b6c9badae05
$ firefox http://0.0.0.0:8888/?token=5464317c3d8db60fe68695d47da10cc32a974b6c9badae05
- Introduction to Machine Learning with Python A Guide for Data Scientists, By Andreas C. Müller and Sarah Guido, O'Reilly Media
- https://github.com/amueller/introduction_to_ml_with_python