Ai & Machine Learning

Employee Attrition Prediction Using Machine Learning

(0 reviews)
Share icon
Coursera

A brief overview of the material covered in this course is that it teaches students how to use logistic regression and the XG-Boost algorithm in machine learning to forecast employee turnover.

Key AI Functions:data science,artificial neural network,machine learning,machine learning regression,regression,ai & machine learning

Description for Employee Attrition Prediction Using Machine Learning

  • Development of an Attrition Prediction Model: Develop a machine learning model to forecast employee turnover based on variables such as job satisfaction, commuting distance, remuneration, and performance metrics.

  • Exploration of Machine Learning Algorithms: Acquire proficiency in two machine learning algorithms: logistic regression classifier and Extreme Gradient Boosted Trees (XGBoost).

  • Human Resources Software: Acquire the ability to implement predictive models in Human Resources to identify personnel at risk of attrition.

  • Hands-On Project-Based Learning: Participate in hands-on experience by constructing, training, and evaluating the model using real-world data attributes.

Level: Beginner/Intermediate/ Advanced

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours

Schedule: Hands-on learning

Reviews for Employee Attrition Prediction Using Machine Learning

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Employee Attrition Prediction Using Machine Learning