https://github.com/microprediction/timeseries-notebooks
Hello world univariate examples for a variety of time series packages.
https://github.com/microprediction/timeseries-notebooks
time-series time-series-analysis time-series-forecasting time-series-prediction timeseries timeseries-analysis
Last synced: 16 days ago
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Hello world univariate examples for a variety of time series packages.
- Host: GitHub
- URL: https://github.com/microprediction/timeseries-notebooks
- Owner: microprediction
- License: mit
- Created: 2020-12-31T20:33:33.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-09-20T15:35:08.000Z (7 months ago)
- Last Synced: 2025-04-02T20:54:26.664Z (23 days ago)
- Topics: time-series, time-series-analysis, time-series-forecasting, time-series-prediction, timeseries, timeseries-analysis
- Language: Jupyter Notebook
- Homepage: https://www.microprediction.com/blog/popular-timeseries-packages
- Size: 1.19 MB
- Stars: 56
- Watchers: 4
- Forks: 26
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# timeseries-notebooks
There are many time series packages list [here](https://www.microprediction.com/blog/popular-timeseries-packages)
Surprisingly few contain the most basic "hello world" univariate example: predicting the (k+1)'th number in a sequence.
So here they are.
If you are interested in contributing, issues are maintained in the timemachines package including suggestions for new notebooks here. See also the [contributors guide](https://github.com/microprediction/timemachines/blob/main/CONTRIBUTE.md).
Typically these notebooks are the first step in a process that leads to creation and benchmarking of autonomous time-series forecasting methods.
