sktime
@sktime_toolbox
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A unified #Python framework and #opensource community for #MachineLearning with #TimeSeries @turinginst | Tweets by @guzzaal and @lovkushatleeds
Joined July 2020
The project has split, this Twitter account is deprecated. You can find the two projects at these repositories:.sktime: aeon:
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Big thanks to the speakers. 🙏.- Katie Buchhorn.- Shivansh Subramanian.- Mirae Parker.- Franz Király.- Arik Ermshaus.- Christopher Lo.
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Our Fall Dev Days talks are now available to watch: 🎥. Find out about:.- our annotation module.- deep learning in sktime.- hmms.- how to get started in sktime.- recent advances in segmentation.- global forecasting models and overcoming scaling problems.
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sktime got accepted to give a 90 minute talk at .@PyDataGlobal. 2022 about pipelines and transformers! 🎉. To watch the talk live, sign up here: Otherwise, you can watch recording on YouTube when it is uploaded.
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Registration of our fall dev days is now open! Everyone is welcome, both new and existing community members.
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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.
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Welcome to Logan Duffy! 👋. They are joining our mentorship program to help them with their first steps in open-source contributions. They are a Data Scientist living in San Francisco focusing on energy and time series analysis.
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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:
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To find out more about mentorship with sktime, see You can also find list of all previous mentees here:
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Absolutely delighted to receive these positive thoughts from Noa, one of our mentees:. "You have established an impressive and unique project with a valuable product and a global community of developers. I see a bright future for sktime and am proud to be a part of it.".
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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. 🇬🇧🇮🇳🇩🇪🇨🇦🇦🇺🇺🇸
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'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 👇.#opensource #workshop #MachineLearning
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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.
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Want to learn about probabilistic #forecasting and forecasting with panel data? Check out our new #tutorial on advanced forecasting from #PyData Berlin!.👉 #opensource #MachineLearning #timeseries.
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We're happy to announce that sktime participates in #GSoC2022! 🥳.Warm welcome to new contributors! 👋.You can find out more here .#mentorship #opensource
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A great guide to start working with sktime - @mloning_.tutorial from PyData Global 2021 is online now, check it out!
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RT @MLRepositories: sktime: A unified framework for machine learning with time series.Lang: Python.⭐️ 4650.#MachineLearning..
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