sktime

The project has split, this Twitter account is deprecated. You can find the two projects at these repositories: sktime: github.com/sktime/sktime aeon: github.com/aeon-toolkit/aeon

Guess which package ChatGPT 🤖 recommends for machine learning with time series? 😜 @OpenAI

sktime got accepted to give a 90 minute talk at @PyDataGlobal 2022 about pipelines and transformers! 🎉 To watch the talk live, sign up here: pydata.org/global2022/. Otherwise, you can watch recording on YouTube when it is uploaded.

Welcome to the team of sktime core-developers, Mirae Parker!

Registration of our fall dev days is now open! Everyone is welcome, both new and existing community members. forms.gle/odGjcc71DDM91zNr8

Save the date! 9-10th Nov 🗓️ Community members of all experience, especially those new to open-source, are welcome to join our Fall Dev Days! Two days of coding, documentation and community building. More details and registration will be announced soon.

sktime 0.13.1 is released! Highlights: -10 new contributors -increased functionality in hierarchical and probabilistic forecasting -updates to `update` in various places -new transformers for solar irradiance series and low/high pass filters For details: sktime.org/en/latest/changel…

Last week we had our annual dev days at UCL in London! It was a week full of coding, talks and discussion about time series and community building. 🤓 Thanks to all participants, both in-person and online. 🙏 Grateful to have people from all over the globe involved. 🇬🇧🇮🇳🇩🇪🇨🇦🇦🇺🇺🇸

'tis time - dev-days time!🥳 July 11 – 15 we invite contributors of all experience levels to join introductory tutorials to the toolbox, group coding sessions, roadmap workshops, and fun socials! Register here 👇 eventbrite.com/e/dev-days-20… #opensource #workshop #MachineLearning

sktime is not only scikit-learn compatible but easily extendible! This Friday - July 17th - our tutorial at #PyData London on how to implement your very own custom estimator in sktime ⚙️ #machinelearning #Python #opensource london2022.pydata.org/cfp/ta…

Want to learn about probabilistic #forecasting and forecasting with panel data? Check out our new #tutorial on advanced forecasting from #PyData Berlin! 👉youtube.com/watch?v=4Rf9euAh… #opensource #MachineLearning #timeseries

We're happy to announce that sktime participates in #GSoC2022! 🥳 Warm welcome to new contributors! 👋 You can find out more here github.com/sktime/mentoring/… #mentorship #opensource

A great guide to start working with sktime - @mloning_ tutorial from PyData Global 2021 is online now, check it out! youtube.com/watch?v=ODspi8-u…