Nixtla: tools for timeseries

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 github.com/Nix...
The notebook with all the code can be found over here:
github.com/pro...
Website: probabl.ai/
Discord: discord.probab...
LinkedIn: / probabl
Twitter: 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:
rss.com/podcas...
If you're keen to see more videos like this, you can follow us over at @probabl_ai.

[@davidramos7955]

That x-axis zoom trick is sick!

[@wexwexexort]

Hey Vincent, do you think my models will improve if I buy a split keyboard?

[@probabl_ai]

Alas, no. But you hands may be more grateful.

[@AhmedThahir2002]

Is there a way to obtain lags and lag transforms of other independent features using Nixtla?

[@probabl_ai]

Good question! Can't say I know for sure though. I can't recall seeing it on the docs and I cannot find the feature listed on the API docs. Might be that I am missing something though.

[@AhmedThahir2002]

Oh okay!
I really appreciate such a well-maintained ecosystem, but I find the Nixtla-verse counter-intuitive at times. I prefer sktime as it is better suited with sklearn and I can still do the feature engineering as I would do with sklearn. Let me know your thoughts!

[@NikolayIskrev]

Thanks for this! Are you familiar with the sktime library?

[@probabl_ai]

It is one of many timeseries libraries that seems to play nice with the scikit-learn stack. May also review it in an upcoming livestream!

[@luisramonramirezrodriguez3658]

Which tablet do you use?

[@probabl_ai]

A cheap huion drawing tablet that is wired via USB.