Employee Attrition Prediction Using Machine Learning
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...
By Ryan Ahmed on Coursera
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.
Topics Covered
Frequently Asked Questions
How much does Employee Attrition Prediction Using Machine Learning cost?
Visit the Employee Attrition Prediction Using Machine Learning course page for current pricing and available discounts.
Who teaches Employee Attrition Prediction Using Machine Learning?
Employee Attrition Prediction Using Machine Learning is taught by Ryan Ahmed, Coursera.
What skill level is Employee Attrition Prediction Using Machine Learning for?
This course is designed for all levels learners.
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