GitHub - Kebab-kun/Finding_Excessive_Absenteeism: This data science project aims to identify factors contributing to excessive absenteeism in the workplace using an absenteeism dataset. The goal is to develop a predictive model that can accurately identify employees at risk of excessive absenteeism with logistic regression ML model.

Kebab-kun / Finding_Excessive_Absenteeism Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

This data science project aims to identify factors contributing to excessive absenteeism in the workplace using an absenteeism dataset. The goal is to develop a predictive model that can accurately identify employees at risk of excessive absenteeism with logistic regression ML model.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Absenteeism+Exercise+-+Integration (1).ipynb		Absenteeism+Exercise+-+Integration (1).ipynb
Absenteeism_ML.ipynb		Absenteeism_ML.ipynb
Absenteeism_Module.ipynb		Absenteeism_Module.ipynb
Absenteeism_Preprocessing.ipynb		Absenteeism_Preprocessing.ipynb
Absenteeism_data.csv		Absenteeism_data.csv
Absenteeism_module_apply.ipynb		Absenteeism_module_apply.ipynb
Absenteeism_new_data.csv		Absenteeism_new_data.csv
Absenteeism_predictions.csv		Absenteeism_predictions.csv
Absenteeism_preprocessed.csv		Absenteeism_preprocessed.csv
absenteeism_module.py		absenteeism_module.py
model		model
scaler		scaler