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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Timeseries for everyone
| Date | Stars |
|---|---|
| 2026-07-24 | 263 |
| 2026-07-25 | 263 |
| 2026-07-28 | 263 |
| 2026-07-30 | 263 |
| 2026-08-06 | 263 |
Today
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Momentum
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growth rate 0.00%/day
 [](https://twitter.com/intent/follow?screen_name=data4sci)    [](https://graphs4sci.substack.com/) [](https://data4sci.ck.page/8a51c452bc) [](https://mybinder.org/v2/gh/DataForScience/Timeseries/master) # Timeseries for Everyone ### Code and slides to accompany the online series of webinars: https://data4sci.com/timeseries by Data For Science. ### Run the code in Binder: [](https://mybinder.org/v2/gh/DataForScience/Timeseries/master) The availability of large quantity of cheap sensors brought forth by the so called “Internet of Things” has resulted in an explosion of the amounts of time varying data. Understanding how to mine, process and analyze such data will only to become an ever more important skill in any data scientists toolkit. In this lecture, we will work through the entire process of how to analyze and model time series data, how to detect and extract trend and seasonality effects and how to implement the ARIMA class of forecasting models. Both real and synthetic datasets will be used to illustrate the different kinds of models and their underlying assumptions. Slides: https://data4sci.com/landing/timeseries/
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:869d08cace1f7d12, topic:tutorial