Predicting employee turnover, performance, and promotion eligibility using Random Forest, XGBoost, and LightGBM
Sub Category
- Human Resources
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Objectives
- Learn how to build employee turnover predictive model using Random Forest
- Learn how to build employee performance predictive model using XGBoost
- Learn how to build promotion eligibility predictive model using LightGBM
- Learn how to analyze the impact of overtime work on turnover rate
- Learn how to analyze the relationship between work life balance and turnover rate
- Learn how to analyze the relationship between number of promotions and turnover rate
- Learn how to analyze the relationship between education level and employee performance
- Learn how to analyze the impact of remote work on employee performance
- Learn how to identify top performers in the company
- Learn the basic fundamentals of human resources analytics, technical challenges and limitations in HR analytics, and its use cases
- Learn how HR predictive modeling works. This section covers data collection, preprocessing, feature selection, train test split, model selection, model training
- Learn about factors that contribute to an employee's performance and turnover rate, such as job satisfaction, work life balance, compensation and benefits
- Learn how to find and download HR dataset from Kaggle
- Learn how to clean dataset by removing missing values and duplicates
- Learn how to handle imbalanced dataset using Synthetic Minority Oversampling Technique and Adaptive Synthetic Sampling Approach
- Learn how to evaluate the accuracy and performance of the model by calculating precision score, recall score, and creating confusion matrix
Pre Requisites
- No previous experience in HR analytics is required
- Basic knowledge in Python and machine learning
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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