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.
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
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.