Using the scikit-learn diabetes dataset, which contains clinical examples of patients with diabetes, we will perform a regression task that gives us a prediction of diabetes progression in at-risk patients. The prediction is measured through a quantitative variable that turns out to be an index for the pathology in question.
-
Notifications
You must be signed in to change notification settings - Fork 0
Using the scikit-learn diabetes dataset, which contains clinical examples of patients with diabetes, we will perform a regression task that gives us a prediction of diabetes progression in at-risk patients. The prediction is measured through a quantitative variable that turns out to be an index for the pathology in question.
License
kozen88/Diabetes_Onward_Monitor
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Using the scikit-learn diabetes dataset, which contains clinical examples of patients with diabetes, we will perform a regression task that gives us a prediction of diabetes progression in at-risk patients. The prediction is measured through a quantitative variable that turns out to be an index for the pathology in question.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published