Employee Attrition Prediction Using Machine Learning

About this guided project

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 skills will you gain?

Predictive Analytics

Data Science

Machine Learning

Predictive Modeling

Artificial Intelligence and Machine Learning (AI/ML)

Applied Machine Learning

Statistical Modeling