This repository contains Jupyter notebooks to explore the Python ecosystem for machine learning.

The tutorials require several packages.

To run it install miniconda (instructions here).

Create the relevant virtual env

conda env create -n tutorial_ml_env -f environment.yml

Activate it

source activate tutorial_ml_env

Install ipykernel

pip install ipykernel

Make virtual env avalaible in Jupyter notebook

python -m ipykernel install --user --name=tutorial_ml_env

Run juyter notebook

jupyter notebook

Open a tutorial notebook and select the kernel tutorial_ml_env

We would highly recommend using git, not only for these tutorials, but for the general betterment of your life. Once git is installed, you can clone the material in this repository by using the git address shown above:

git clone git://github.com/makinacorpus/tutorials/machine_learning

If you can't or don't want to install git, there is a link above to download the contents of this repository as a zip file. We may make changes to the repository, however, so cloning the repository is a much better option. repository

You can view the tutorial materials using the excellent nbviewer service.

Note, however, that you cannot modify or run the contents within nbviewer. To modify them, first download the tutorial repository, change to the notebooks directory, and run ipython notebook. You should see the list in the ipython notebook launch page in your web browser. For more information on the IPython notebook, see http://ipython.org/notebook.html

In addition, for storage and licence reasons, our machine learning notebooks are often provided withou data. At the beginning of these notebooks you will find information to download required data.