ideas for time series forecasting data and examples
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- data, machine-learning
Research direction
The issue names no repository file or test. Review the linked TensorFlow time-series tutorial and the HadISD, MIDAS UK, and Austin weather sources first; done would mean a decided set of forecasting data and examples suitable for this tutorial.
Written by the indexing model from the issue text.
Description
https://www.tensorflow.org/tutorials/structured_data/time_series
https://www.kaggle.com/datasets/grubenm/austin-weather
HadISD
- info https://www.metoffice.gov.uk/hadobs/hadisd/
- data on CEDA archive https://catalogue.ceda.ac.uk/uuid/5fb94c8e37f64c95b671278b0e55cdd4
MIDAS UK station data
- Dominant language
- Jupyter Notebook
- Stars
- 4
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Getting set up
We have not checked this project's setup files yet. Start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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create a similarity matrix for the clustering notebookMay be free again @stevehadd claimed this 1382 days ago, and no pull request is open. Open
MetOffice/ml_weather_tutorial#28 · 1 assignee ·
All issues in MetOffice/ml_weather_tutorial
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