Basics of machine learning ## Associated Tutorial This workflows is part of the tutorial [Basics of machine learning](https://training.galaxyproject.org/training-material/topics/statistics/tutorials/machinelearning/tutorial.html), available in the [GTN](https://training.galaxyproject.org) ## Features * Includes [Galaxy Workflow Tests](https://training.galaxyproject.org/training-material/faqs/gtn/workflow_run_test.html) ## Thanks to... **Tutorial Author(s)**: [Anup Kumar](https://training.galaxyproject.org/training-material/hall-of-fame/anuprulez/) **Tutorial Contributor(s)**: [Björn Grüning](https://training.galaxyproject.org/training-material/hall-of-fame/bgruening/), [Saskia Hiltemann](https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/), [Bérénice Batut](https://training.galaxyproject.org/training-material/hall-of-fame/bebatut/), [Helena Rasche](https://training.galaxyproject.org/training-material/hall-of-fame/hexylena/), [Gildas Le Corguillé](https://training.galaxyproject.org/training-material/hall-of-fame/lecorguille/), [Anup Kumar](https://training.galaxyproject.org/training-material/hall-of-fame/anuprulez/), [Martin Čech](https://training.galaxyproject.org/training-material/hall-of-fame/martenson/), [Armin Dadras](https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/), [Teresa Müller](https://training.galaxyproject.org/training-material/hall-of-fame/teresa-m/) **Funder(s)**: [ELIXIR Europe](https://training.galaxyproject.org/training-material/hall-of-fame/elixir-europe/), [de.NBI](https://training.galaxyproject.org/training-material/hall-of-fame/deNBI/), [University of Freiburg](https://training.galaxyproject.org/training-material/hall-of-fame/uni-freiburg/) [](https://training.galaxyproject.org/training-material/)