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feat: add sktime to Machine Learning > Time Series Forecasting

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The use case had no unified scikit-learn-style time-series framework.

Co-Authored-By: Claude <noreply@anthropic.com>
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Vinta Chen
2026-10-02 11:38:02 +08:00
co-authored by Claude
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@@ -211,6 +211,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- Time Series Forecasting
- [prophet](https://github.com/facebook/prophet) - A tool for producing forecasts for time series with multiple seasonality and trend changes.
- [statsforecast](https://github.com/Nixtla/statsforecast) - Fast statistical forecasting models such as ARIMA, ETS, and Theta, compiled with numba.
- [sktime](https://github.com/sktime/sktime) - A unified scikit-learn-style framework for forecasting and other time-series learning tasks.
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
### Natural Language Processing