sktime

Users

  • Installation
  • Tutorials
    • 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
  • User Guide
  • API Reference
  • Changelog

Developers

  • How to Contribute
  • Developer Guide
  • Development Roadmap
  • Mentorship Program
  • Code of Conduct
  • Governance

About

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sktime
  • »
  • Tutorials

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.

binder

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.


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