Employee Attrition Prediction Using Machine Learning

Employee Attrition Prediction Using Machine Learning

Name: Employee Attrition Prediction Using Machine Learning
Rating: 4.416666666666667 (3 reviews)

Instructor: Ryan Ahmed

What you'll learn

Understand the theory and intuition behind logistic regression classifier models
Build, train and test a logistic regression classifier model in Scikit-Learn
Perform data cleaning, feature engineering and visualization

Skills you'll practice

Details to know

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Taught in English

No downloads or installation required

Only available on desktop

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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.

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

Understand the Problem Statement and Business Case
Import Libraries and Datasets
Perform Data Visualization
Perform Data Visualization - Continued
Create Training and Testing Datasets
Understand the Intuition Behind Logistic Regression
Train and Evaluate a Logistic Regression Model

Recommended experience

Basic python programming and Machine Learning Knowledge

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Instructor

Ryan Ahmed

Coursera Project Network

38 Courses88,025 learners

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Coursera Project Network

How you'll learn

Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.