HR professionals generally lag behind with respect to analytics and data visualization competency. Thus, Dr. Carla Patalano set out to create their own HR-related dataset, which is used in one of the graduate MSHRM courses called HR Metrics and Analytics, at New England College of Business. He created this data set.
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Perform EDA on the target to find out how many feature variables are related to the termination of an employee's employment. (Most reasons, by department, by gender, etc.) Create data visualization according to EDA Steps (> 5 visualizations). Give an insight from this step.
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Perform Machine Learning modeling to predict employee termination.