WenjieDu / BrewPOTS
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Why this job: says: tutorials for
What it does
In this project, partially observed time series datasets are taken as coffee beans. As you can see, there is a coffee pot in the PyPOTS logo on the left, and the tutorials in this repo are going to show you how to use this pot (i.e., PyPOTS) to brew your coffee beans (i.e., POTS data) into a cup of delicious coffee (i.e., what you want).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 128
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 27 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Jupyter Notebook 100%
- Python <1%
Topics
- classification
- clustering
- data-mining
- data-science
- forecasting
- imputation
- incomplete
- machine-learning
- missing-data
- time-series
- time-series-analysis
- irregularly-sampled
Project record
- JobLists and guides
- StatusListed
- Commits104
- Forks19
- Watching7
- Stars in 28 days+1
- CreatedApr 27, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026