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https://github.com/sktime/sktime-workshops

sktime workshops & tutorials
https://github.com/sktime/sktime-workshops

machine-learning scikit-learn sktime time-series tutorials

Last synced: 6 months ago
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sktime workshops & tutorials

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README

          

.. -*- mode: rst -*-

|gitter|_ |Binder|_

.. |gitter| image:: https://img.shields.io/gitter/room/alan-turing-institute/sktime?logo=gitter
.. _gitter: https://gitter.im/sktime/community

.. |binder| image:: https://mybinder.org/badge_logo.svg
.. _Binder: https://mybinder.org/v2/gh/sktime/sktime-workshops/main

sktime workshops & tutorials
============================

This is a repository for tutorials for `sktime `_, a `scikit-learn `__
compatible Python toolbox for machine learning with time series.

For deep learning methods, we have a separate extension package:
`sktime-dl `__.

How to get started
------------------

You have two options to run the tutorials:

* `Launch `_ an interactive Jupyter notebook on Binder to run tutorials in the cloud

* `Install sktime `_ and download repository to run tutorials locally

Contributions
-------------
We are actively looking for contributors. Please contact @mloning or @fkiraly for volunteering or information on
paid opportunities, or simply `chat `__ with us
or `raise an issue `__.

In order to contribute to sktime, you may also want to `fork `_ the
repository on Github and create a local `clone `_ of it,
following the instructions in our `contributing guidelines `_.

Please also take a look at our `Code of Conduct `_.