Employee Attrition Prediction Using Machine Learning

About this course

In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will explore two machine learning algorithms, namely: (1) logistic regression classifier model and (2) Extreme Gradient Boosted Trees (XG-Boost). This project could be effectively applied in any Human Resources department to predict which employees are more likely to quit based on their features. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What you will learn

• Understand the theory and intuition behind logistic regression classifier models
• Build, train and test a logistic regression classifier model in Scikit-Learn
• Perform data cleaning, feature engineering and visualization