In this tutorial, you will learn how to build a machine learning model to both predict and explain whether employees will leave.
In this tutorial, you will learn how to employ a simulated dataset from Kaggle to build a machine learning model to both predict and explain whether employees will leave their employer or not and the reason(s) why they may do so. The data comprise a wide range of topics which allow to explain employees' leave behavior in relation with A) organizational factors (department); B) employment relational factors (i.e. tenure, the number of projects participated in; the average working hours per month; objective career development; salary); and C) job-related factors (performance evaluation; involvement in workplace accidents). You will follow several steps to explore the data and build a machine learning model to predict whether an employee will leave or not, and why. If you want to build the model from scratch, you can find the tutorial here: http://www.md2c.nl/predict-employee-leave-human-resources-analytics/