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A unified #Python framework and #opensource community for #MachineLearning with #TimeSeries @turinginst | Tweets by @guzzaal and @lovkushatleeds

Joined July 2020
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⭐ DYK: You have the ability to fully customize the cross-validation process in #pycaret #timeseries module using @sktime_toolbox splitters! 👉 More here: ow.ly/oGCR50GPFTX 🚀 All Docs: ow.ly/f7Ce50GPFTW #opensource #machinelearning #datascience #forecasting
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The #pycaret #timeseries module is built using the @sktime_toolbox. sktime is doing for time series what #sklearn did for machine learning. Would like to thank the developers (@mloning_ , Franz Kiraly, Martin Walter, et al.) for such an awesome contribution to #opensource. 🙏
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⭐ DYK: The #pycaret #timeseries module provides a unified platform to consistently compare models from #statsmodels, #pmdarima, #sklearn, #prophet, etc with a few lines of code. 👉 More on this here: ow.ly/pQ0P50GHMt7 🚀 Docs: ow.ly/1y9250GHMt6 #opensource #sktime
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⭐ Did you know: You can now perform "Online Learning" with ease using the new #pycaret #timeseries module in conjunction with #sktime. 👉 More on this here: ow.ly/2Xs450GzQUT 🚀 All FAQs: ow.ly/leVH50Gx0vF #opensource #machinelearning #datascience #python
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i.datachef.co/SKT Interested in performing #TimeSeries analysis on the cloud? This guide explains the procedure for using @sktime_toolbox on the #AmazonSageMaker environment. #MachineLearning #TimeSeries #AmazonSageMaker #Datachef
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our paper on HIVE-COTEv2.0, a new state of the art for time series classification, is out and open access link.springer.com/article/10… @sktime_toolbox @MLJ_Social @M_Middlehurst @JasonLines @jammylarge @M_J_Flynn @_Groshh_
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Congratulations to the #sktime team!
v0.8.0 is out now! It comes with a huge list of new additions and enhancements - check out what's new in our changelog! 📦🎉sktime.org/en/stable/changel… #sktime #Python #MachineLearning #TimeSeries
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Sktime is a library for #TimeSeries analysis in #Python. It has a full suite of tools for #forecasting that are built on top of #ScikitLearn. I'm giving a FREE demonstration of the sktime package during my next Learning Lab. Registration is Open: buff.ly/3EldkaB
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The #Python sktime library is a unified framework for machine learning with #timeseries. Naturally I'm interested. So, I'm holding a FREE live webinar next week: #forecast 100 time series. Join me & learn. Registration is open: buff.ly/3k6V1On #python #rstats
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Our next seminar is 3-4pm Wednesday 22 September with Prof Tony Bagnall from @uniofeastanglia. Tony's research focuses on time series machine learning, and he will discuss 'sktime', an open-source toolkit for learning from time series. Register on Zoom ucl.zoom.us/webinar/register…
Why start using sktime for forecasting? Joanna Lenczuk shares how sktime makes the whole forecasting process easier buff.ly/3z1T8aC
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.@scikit_learn remains one of the most popular ML frameworks. However, building time-series forecasting in scikit-learn requires putting a lot of disjointed components together. @sktime_toolbox = unified Time Series Framework for Scikit-Learn⬇️
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“Don’t Use K-fold Validation for Time Series Forecasting” and how to use temporal cross validation with sktime in python instead. link.medium.com/u9xuPStG9hb
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I have proposed to build this into "Sktime", it will be really helpful if you have any suggestions on this - github.com/alan-turing-insti…. @mdancho84
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DEADLINE JULY 15 - apply if you want to learn how you can take your #OpenSource / #OpenScience project forward in the most inclusive possible way!
Hey folks - we're mega excited to announce that round four of our open research training program is open for application!
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sktime retweeted
Read about what I work on at @sktime_toolbox during my summer @outreachy internship! 👩‍💻 #opensource #machinelearning #python #internships guzal.hashnode.dev/developin…
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You are Invited! Join the sktime Dev Days. Contribute to a growing python package for time series machine learning. #sktime #machinelearning #ai #python link.medium.com/kG98zWqm8gb
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Reminder: we're hiring for tslearn, if you're interested, contact me via Twitter or mail. rtavenar.github.io/research/…
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