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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 | 112 |
Categories | Data Science and Analysis |
Content Status |