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Add skforecast to README.md
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@ -1160,6 +1160,7 @@ be
* [hebel](https://github.com/hannes-brt/hebel) - GPU-Accelerated Deep Learning Library in Python. **[Deprecated]**
* [Chainer](https://github.com/chainer/chainer) - Flexible neural network framework.
* [prophet](https://facebook.github.io/prophet/) - Fast and automated time series forecasting framework by Facebook.
* [skforecast](https://github.com/skforecast/skforecast) - Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modelling for Humans.
* [tweetopic](https://centre-for-humanities-computing.github.io/tweetopic/) - Blazing fast short-text-topic-modelling for Python.
* [topicwizard](https://github.com/x-tabdeveloping/topic-wizard) - Interactive topic model visualization/interpretation framework.