EuroSciPy 2019 - scikit-learn tutorial

All notebook material: https://github.com/lesteve/euroscipy-2019-scikit-learn-tutorial/

Some intro slides: http://ogrisel.github.io/decks/2017_intro_sklearn

Follow the tutorial online

You need an internet connection but you will not have to install any package locally.

The tutorials will require the following packages:

We provide both requirements.txt and environment.yml to install packages.

You can install the packages using pip:

$ pip install -r requirements.txt

You can create an sklearn-tutorial conda environment executing:

$ conda env create -f environment.yml

and later activate the environment:

$ conda activate sklearn-tutorial

You might also only update your current environment using:

$ conda env update --prefix ./env --file environment.yml  --prune

This repo uses: Jupytext doc

To synchronize the notebooks and the Python scripts (based on filestamps, only input cells content is modified in the notebooks):

$ jupytext --sync notebooks/*.ipynb

or simply use:

$ make sync

If you create a new notebook, you need to set-up the text files it is going to be paired with:

$ jupytext --set-formats notebooks//ipynb,python_scripts//py:percent notebooks/*.ipynb

or simply use:

$ make format

To render all the notebooks (from time to time, slow to run):

$ make render