Tutorials¶
We have a number of tutorial notebooks. If you like to run them interactively, you can launch them on Binder without having to install anything.
We assume basic familiarity with scikit-learn. If you haven’t worked with scikit-learn before, check out their getting-started guide.
- Forecasting with sktime
- Univariate time series classification with sktime
- Multivariate time series classification with sktime
- Benchmarking with sktime
- Feature extraction with tsfresh transformer
- Shapelets and the Shapelet Transform with sktime
- Interval based time series classification in sktime
- The Canonical Time-series Characteristics (catch22) transform
- Time series classification with Mr-SEQL
- Demo of ROCKET transform
- Demo of the PlateauFinder transformer
- Loading and working with data in sktime
- Forecasting with HCrystalBall forecaster
- Dictionary based time series classification in sktime
- Time series interpolating with sktime
- Now the interpolator enters
The notebook files can be found here.