MetOffice/ml_weather_tutorial
View on GitHubTutorial using machine learning for weather science research
- Stars
- 4
- Forks
- 2
- Open beginner issues
- 0
- Indexed issues
- 20
- Dominant language
- Jupyter Notebook
- License
- BSD-3-Clause
- Last GitHub push
- Jul 18, 2025
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
-
Difficulty 1/5 Under an hour Newbie friendliness 55/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
-
Difficulty 3/5 1-2 days Newbie friendliness 35/100
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
MetOffice/ml_weather_tutorial#28 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#27 · 1 comment · 1 assignee ·
-
MetOffice/ml_weather_tutorial#26 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#25 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#24 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#23 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#22 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#19 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#18 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#17 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#13 · 1 assignee ·
-
MetOffice/ml_weather_tutorial#12 · 1 assignee ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
MetOffice/ml_weather_tutorial#11 · 1 comment ·
-
MetOffice/ml_weather_tutorial#9 · 1 comment · 1 assignee ·
-
MetOffice/ml_weather_tutorial#5 · 1 comment · 1 assignee ·
-
MetOffice/ml_weather_tutorial#4 · 1 comment · 1 assignee ·