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| Content > f7be838467724aa2ae23a5441942bbdc |
| JSON | API Reference |
| ID | f7be838467724aa2ae23a5441942bbdc |
| Item | Climate_Downscaling.ipynb |
| Item Type | file |
| Owner | esri_notebook |
| Uploaded | Apr 25, 2019 |
| Modified | Apr 25, 2019 |
| Thumbnail |
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| GUID | N/A |
| Name | N/A |
| Title | Deep Learning: Downscale climate models |
| Type | Notebook |
| Type Keywords | Notebook, Python |
| Description | This notebook will demonstrate spatial data wrangling, spatial and non-spatial exploratory data analysis, and integrating machine learning functionality from libraries such as scikit-learn and arcPy for spatial modelling |
| Tags | Machine Learning, Predictive Modeling, Climate Science, Climate, Global Climate Models, EBK |
| Snippet | Harness ArcGIS platform's internal machine learning libraries and strong extensibility to external machine learning libraries to downscale climate models |
| Extent | N/A |
| Spatial Reference | N/A |
| Access Information | N/A |
| License Information | - Uses arcpy |
| Culture | english (united states) |
| Properties | {"notebookRuntimeName":"ArcGIS Notebook Python 3 Advanced","notebookRuntimeVersion":"10.7.1"} |
| Url | N/A |
| Proxy Filter | N/A |
| Last Modified | N/A |
| Size | 880175 |
| Documentation | N/A |
| App Categories | N/A |
| Industries | N/A |
| Languages | N/A |
| Listed | false |
| Comments Enabled | true |
| # Comments | 0 |
| # Ratings | 0 |
| Avg. Rating | 0.0 |
| # Views | 202 |
| Categories | Data Science and Analysis |
| Content Status |