Skip to content

This Project uses machine learning models to predict employee's promotion in a company. Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machine Classifier and Xgboost Classifier were incorporated. Maximum Hard Voting Ensemble is used to provide an optimal model.

Notifications You must be signed in to change notification settings

VincentSD/Blossom-Project-3

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Blossom-Project-3

This Project uses machine learning models to predict employee's promotion in a company. Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machine Classifier and Xgboost Classifier were incorporated. Maximum Hard Voting Ensemble is used to provide an optimal model.

About

This Project uses machine learning models to predict employee's promotion in a company. Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machine Classifier and Xgboost Classifier were incorporated. Maximum Hard Voting Ensemble is used to provide an optimal model.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published