https://github.com/deepcharles/tutorials-mva-2022

Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
https://github.com/deepcharles/tutorials-mva-2022

Last synced: about 1 year ago
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Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)

• Host: GitHub
• URL: https://github.com/deepcharles/tutorials-mva-2022
• Owner: deepcharles
• License: gpl-3.0
• Created: 2022-01-20T18:09:55.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-03-03T21:05:03.000Z (over 4 years ago)
• Last Synced: 2025-03-27T11:38:09.416Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 736 KB
• Stars: 10
• Watchers: 2
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Tutorials for the "Machine Learning for Time Series" class (Master 2 MVA, 2021-2022)

([Course description.](http://www.laurentoudre.fr/ast.html))

## General information

Requirements

These tutorials use Python 3 (version 3.6 at least) and [Jupyter notebooks](https://jupyter.org/).

You will also need several Python packages that are listed in `requirements.txt` files in the relevant folders.

### With  `pip`

All packages can be installed using `pip install package_name`.

### With `conda`

Most packages should also be available through `conda`, but a few are not.