Tutorial on model selection and validation using scikit-learn

Tutorial by Jérôme Dockès, organized as part of the 2022 educational workshop of the Montreal NeuroAI (MAIN) conference.

Objectives of the tutorial:
Understand how to evaluate the performance of machine learning models.
Learn about hyperparameters and model selection.
Learn about pitfalls when validating machine learning models and how to easily avoid them using scikit-learn.

Material:
The github repository of the tutorial: https://github.com/neurodatascience/main-2021-ml-parts-1-2

More information on MAIN educational: https://main-educational.github.io

Видео Tutorial on model selection and validation using scikit-learn канала MAIN Conference