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
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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
- Model Training
- Data Science
- Data Processing
- Regression Analysis
- Data Preprocessing
- Statistical Visualization
- Predictive Modeling
- Data Wrangling
- Data Visualization
- Logistic Regression
- Feature Engineering
- Data Cleansing
- Human Resources
- People Analytics
- Machine Learning
- Statistical Modeling
- Supervised Learning
- Decision Tree Learning
- Applied Machine Learning
Tools you'll use
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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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
38 Courses121,250 learners
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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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VL
Reviewed on Nov 18, 2022
Great explanation of step wise process to go from EDA to Train/test/split to building a model.
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