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Content > cf171fbc391241d78908dbaef1024076
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Item (Forest-based Classification: Predict asthma rates)

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ID cf171fbc391241d78908dbaef1024076
Item Asthma_Prediction.ipynb
Item Type file
Owner esri_notebook
Uploaded Apr 25, 2019
Modified Apr 25, 2019
Thumbnail
GUID N/A
Name N/A
Title Forest-based Classification: Predict asthma rates
Type Notebook
Type Keywords Notebook, Python
Description Determine what census block groups in Connecticut have the highest children's hospitalization rates for asthma related issues.
Tags Machine Learning, Predictive Modeling, Public Health, Data Science
Snippet Determine what census block groups in Connecticut have the highest children's hospitalization rates for asthma related issues.
Extent N/A
Spatial Reference N/A
Access Information N/A
License Information - Uses arcpy, Uses Notebook Server Advanced
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 5369891
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 130
CategoriesData Science and Analysis
Content Status


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