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.
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Use this if you are an HR professional or business leader seeking to predict and mitigate employee turnover based on your organization's human resources data.
Not ideal if you are looking for a complete HR management system or if your primary focus is on areas other than employee attrition and performance.
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Oct 05, 2023
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