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https://github.com/ing-bank/tsforecast
A pipeline to execute time series forecasts and visualize them in a dashboard. The employable forecast models fall into three categories: simple heuristics (mean of last 12 months, last 3 months etc), classical time series econometrics (ARIMA, Holt-Winters, Kalman filters etc.) and machine learning (Neural networks, Facebook’s Prophet etc.)
https://github.com/ing-bank/tsforecast
Last synced: 5 days ago
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A pipeline to execute time series forecasts and visualize them in a dashboard. The employable forecast models fall into three categories: simple heuristics (mean of last 12 months, last 3 months etc), classical time series econometrics (ARIMA, Holt-Winters, Kalman filters etc.) and machine learning (Neural networks, Facebook’s Prophet etc.)
- Host: GitHub
- URL: https://github.com/ing-bank/tsforecast
- Owner: ing-bank
- License: gpl-3.0
- Created: 2020-03-17T11:16:25.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-09-16T16:10:17.000Z (about 4 years ago)
- Last Synced: 2024-03-25T20:55:34.331Z (8 months ago)
- Language: R
- Homepage:
- Size: 65.9 MB
- Stars: 7
- Watchers: 4
- Forks: 3
- Open Issues: 0