HR analytics helps with interpreting organizational data. It finds out the people-related trends in the data and helps the HR department take the appropriate steps to keep the organization running smoothly and profitably. Attrition in a corporate setup is one of the complex challenges that the people managers and HR personnel have to deal with. Interestingly, machine learning models can be deployed to predict potential attrition cases, thereby helping the appropriate HR personnel or people managers take the necessary steps to retain the employee.
In this chapter, we are going to build ML ensembles that will predict such potential cases of attrition. The job attrition dataset used for the project is a fictional dataset created by data scientists at IBM. The rsample library incorporates this dataset and we can make use of this...