https://github.com/deepcharles/tutorials-mva-2024-2025

Tutorials for the Machine Learning for Time Series class - Master MVA
https://github.com/deepcharles/tutorials-mva-2024-2025

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Tutorials for the Machine Learning for Time Series class - Master MVA

• Host: GitHub
• URL: https://github.com/deepcharles/tutorials-mva-2024-2025
• Owner: deepcharles
• License: gpl-3.0
• Created: 2023-01-17T19:58:50.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-04T19:11:48.000Z (over 1 year ago)
• Last Synced: 2025-04-08T23:16:39.171Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 19 MB
• Stars: 23
• Watchers: 3
• Forks: 31
• 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, 2023-2024)

([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.