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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.
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1 - 2 von 2 Bewertungen für Employee Attrition Prediction Using Machine Learning
von Varun L
•18. Nov. 2022
Great explanation of step wise process to go from EDA to Train/test/split to building a model.
von Tatyasaheb S
•25. Feb. 2023
Good to follow and learn.
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