A unified #Python framework and #opensource community for #MachineLearning with #TimeSeries @turinginst | Tweets by @guzzaal and @lovkushatleeds
Joined July 2020
- Tweets 108
- Following 92
- Followers 469
- Likes 149
17 Photos and videos
15 Apr 2023
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
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13 Dec 2022
Guess which package ChatGPT 🤖 recommends for machine learning with time series? 😜 @OpenAI
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16 Nov 2022
Our Fall Dev Days talks are now available to watch: youtube.com/watch?v=u6ivJGh4… 🎥
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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16 Nov 2022
Big thanks to the speakers. 🙏
- Katie Buchhorn
- Shivansh Subramanian
- Mirae Parker
- Franz Király
- Arik Ermshaus
- Christopher Lo
10 Nov 2022
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.
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14 Oct 2022
Registration of our fall dev days is now open! Everyone is welcome, both new and existing community members. forms.gle/odGjcc71DDM91zNr8
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6 Oct 2022
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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3 Oct 2022
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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15 Aug 2022
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…
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8 Aug 2022
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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8 Aug 2022
To find out more about mentorship with sktime, see sktime.org/en/latest/get_inv…. You can also find list of all previous mentees here: github.com/sktime/mentoring/…
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19 Jul 2022
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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16 Jun 2022
'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
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14 Jun 2022
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…
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24 May 2022
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
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15 Mar 2022
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
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3 Feb 2022
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…
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sktime retweeted
sktime: A unified framework for machine learning with time series
Lang: Python
⭐️ 4650
#MachineLearning
github.com/alan-turing-insti…
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