Skip to content

Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost

Notifications You must be signed in to change notification settings

silwindo/Milling-Machine-Failure-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Milling-Machine-Failure-Prediction

Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost

About

Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published