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.
Employee Attrition Prediction Using Machine Learning
Employee Attrition Prediction Using Machine Learning
Instructor: Ryan Ahmed
Access provided by SGCSRC
Learn, practice, and apply job-ready skills with expert guidance
4.5
(15 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
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
- Human Resources
- Decision Tree Learning
- Data Science
- Predictive Analytics
- Applied Machine Learning
- Feature Engineering
- Predictive Modeling
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Data Visualization
- Employee Retention
- Data Cleansing
- Regression Analysis
- Classification And Regression Tree (CART)
- Machine Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
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
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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.
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4.5
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VL
5
Reviewed on Nov 17, 2022
Great explanation of step wise process to go from EDA to Train/test/split to building a model.
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