This project, Predictive Analysis of Employee Attrition and Performance, utilizes the IBM HR Analytics Attrition Dataset to analyze factors influencing employee turnover. Through data preparation, cleaning, and visualization, the project aims to identify patterns that contribute to employee attrition, helping organizations develop predictive models to mitigate turnover risks. The dataset includes 1,470 employee records and 35 features, such as demographic details, job roles, and performance metrics, offering insights for HR professionals to enhance employee retention strategies.
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Predictive analysis of employee attrition using machine learning on the IBM HR dataset to identify patterns and enhance employee retention strategies.
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