Commit 920c8e4b authored by Vincent Guigue's avatar Vincent Guigue
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parent 6f26319b
# 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:
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
(resource in French) or to the original tutorial
(resource in French)
* or to the original numpy tutorial in English
## 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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