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by Saishruthi Swaminathan, Rich Hagarty | Updated March 28, 2019 - Published January 29, 2019
Data scienceMachine learning
This code pattern is a high-level overview of what to expect in a data science pipeline and the tools that can be used along the way. It starts from framing the business question, to buiding and deploying a data model. The pipeline is demonstrated through the employee attrition problem.
Employees are the backbone of any organization. Its performance is heavily based on the quality of the employees and retaining them. With employee attrition, organizations are faced with a number of challenges:
The following solution is designed to help address the employee attrition problem. After completing this code pattern, you’ll understand:
The dataset used in the code pattern is supplied by Kaggle and contains HR analytics data of employees that stay and leave. The types of data include metrics such as education level, job satisfactions, and commmute distance.
The data is made available under the following license agreements:
Get the detailed instructions in the README file. These steps will show you how to:
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