The research mainly aims to identify through classification algorithms (KNN, Random Forest, and Decision Tree) if one day, based on its climatic features and concentrations of harmful elements in the air, it turns out to be harmful (or not) to the health of citizens in the Milan metropolis. Furthermore, a second prediction model, Linear Regression, was adopted to predict daily mean PM2.5 values.
-
Notifications
You must be signed in to change notification settings - Fork 0
The research mainly aims to identify through classification algorithms if one day, based on its climatic features and concentrations of harmful elements in the air, it turns out to be harmful (or not) to the health of citizens in the Milan metropolis. A second prediction model was adopted to predict daily mean PM2.5 values.
alessandromonolo/Classification-Of-Days-Exceeding-The-PM-Threshold
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
The research mainly aims to identify through classification algorithms if one day, based on its climatic features and concentrations of harmful elements in the air, it turns out to be harmful (or not) to the health of citizens in the Milan metropolis. A second prediction model was adopted to predict daily mean PM2.5 values.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published