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Learner Reviews & Feedback for Employee Attrition Prediction Using Machine Learning by Coursera Project Network

4.3
stars
10 ratings

About the 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....

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1 - 3 of 3 Reviews for Employee Attrition Prediction Using Machine Learning

By Varun L

•

Nov 18, 2022

Great explanation of step wise process to go from EDA to Train/test/split to building a model.

By Tatyasaheb S

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Feb 25, 2023

Good to follow and learn.

By Paige T

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Sep 12, 2024

Didnt know I needed to know Python before starting this course