IBM-HR-Analytics-Employee-Attrition-and-Performance-Prediction and employee-attrition-analysis

Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 13/25
Maintenance 13/25
Adoption 0/25
Maturity 9/25
Community 0/25
Stars: 30
Forks: 5
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars:
Forks:
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About IBM-HR-Analytics-Employee-Attrition-and-Performance-Prediction

shantanu1109/IBM-HR-Analytics-Employee-Attrition-and-Performance-Prediction

In this project, we enlisted the numerical and categorical attributes present in the publicly available dataset. Missing values were dropped to give better insights in data analysis. ANOVA and Chi-Square tests were carried out during statistical analysis. Machine Learning algo's were applied to understand, manage, and mitigate employee attrition.

This project helps HR managers and business leaders understand why employees leave their company. By analyzing existing HR data, it predicts which employees are at risk of attrition and identifies the main reasons behind their departures. This allows for proactive measures to improve employee satisfaction and retention.

HR analytics employee retention workforce planning talent management staff turnover

About employee-attrition-analysis

HamidrezaGholamrezaei/employee-attrition-analysis

HR analytics project exploring employee attrition drivers through EDA and predictive modeling.

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