There is a suite of tools for timeseries from the Nixtla ecosystem. We won't be able to cover all the tools in here, but since a few tools play nice with the scikit-learn ecosystem we will go ahead and explore those.
There is a potential bug that we may have found at the end of the livestream, which we report to Nixtla here https://github.com/Nixtla/mlforecast/issues/457
The notebook with all the code can be found over here:
https://github.com/probabl-ai/youtube-appendix/blob/main/00-livestream/nixtla-demo.ipynb
Website: https://probabl.ai/
Discord: https://discord.probabl.ai/
LinkedIn: https://www.linkedin.com/company/probabl
Twitter: https://x.com/probabl_ai
We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here:
https://rss.com/podcasts/sample-space/
If you're keen to see more videos like this, you can follow us over at @probabl_ai.