Commit 920c8e4b authored by Vincent Guigue's avatar Vincent Guigue
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Update README.md

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# TimeSeriesTuto
# TimeSeries prediction (& analysis) Tutorial
## Environments
We are going to use basic python scientific libraries. For begginers, do not hesitate to rely on integrated environnment like Anaconda:
https://www.anaconda.com
All support are provided in python notebook formats (jupyter).
## Prerequirements
This tutorial requires some basic knowledge in ***python*** and some practice on ***numpy/matplotlib***. If needed, you can refer to
http://mapsi.lip6.fr/pmwiki.php?n=Main.TutoPythonJN
(resource in French) or to the original tutorial
* http://mapsi.lip6.fr/pmwiki.php?n=Main.TutoPythonJN
(resource in French)
* or to the original numpy tutorial in English
https://numpy.org/doc/stable/user/quickstart.html
## Organisation
This tutorial is divided two talks
* Autoregressive approaches, machine learning formalism, pitfalls
* Deep learning architectures for timeseries analysis
And 3 notebooks
* Autoregressive models
* ML & pitfalls
* Deep learning tutorial
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