Inria-Chile/ml-with-sklearn

A course of machine learning with scikit-learn

Machine learning with scikit-learn

by Nayat Sánchez-Pi and Luis Martí

A repository of Jupyter notebooks with the slides and code examples for our machine learning course using scikit-learn.

Using the notebooks on the cloud

Open the notebooks in MyBinder (recommended) or in Google Colab.

Installing locally

• Requirements:

  • Python >=3.8 and <12 and
  • Poetry dependency manager.

• Install required libraries (they will go in a .venv virtual environment in the current folder).

  poetry install

• Activate virtual environment:

  poetry shell

• Run notebooks:

  jupyter notebook

• Check that all notebooks are working (will take a while):

  pytest -n=auto --nbmake --nbmake-timeout=600 **/*ipynb 

Third-party images and materials usage note

We have made our best to acknowledge the corresponding author whenever using third-party materials. If you find any misattributions do not hesitate to contact us.