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: 1 day ago
JSON representation

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 (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-09-20T15:35:08.000Z (3 months ago)
• Last Synced: 2024-12-24T05:49:50.313Z (10 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: 55
• Watchers: 5
• Forks: 24
• Open Issues: 2
• 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. 

![](https://i.imgur.com/PpWIhlx.png)