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Problem statement

Employees certainly are the most important asset of an organization. They are the ones working behind the scenes to ensure that your business functions seamlessly like a well-oiled machine. Hiring the best fit for an organization and ensuring that they stick with the company are two sides of the same coin. Employee attrition not only may lead to a minor hitch in the system, but it is also a major cost to the organization.

The Human Resources department of your organization is determined to predict the employee attrition rate in advance and put a corrective plan of action in place. As a Machine Learning Specialist, the HR team has requested you to build a sophisticated model that predicts the organization’s attrition rate.


The dataset consists of various details such as gender and age of the employee, education and relationship status, pay scale, and other factors that may influence the attrition rate.

The benefits of practicing this problem by using Machine Learning techniques are as follows:

  • This challenge will encourage you to apply your Machine Learning skills to build models that can predict employee attrition rates.
  • This challenge will help you enhance your knowledge of regression. Regression is one of the basic building blocks of Machine Learning.

We challenge you to build a model that computes the attrition rate for an employee working in an organization.


Considering these unfortunate times that the entire world is facing due to the Coronavirus pandemic, we wish to do our bit and contribute the prize money for the welfare of society.


Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experiences without being explicitly programmed. Machine Learning is a Science that determines patterns in data. These patterns provide a deeper meaning to problems. First, it helps you understand the problems better and then solve the same with elegance.

Here is the new HackerEarth Machine Learning Challenge—Will your employees leave you?

This challenge is designed to help you improve your Machine Learning skills by competing and learning from fellow participants.

Why should you participate?

  • To analyze and implement multiple algorithms and determine which is more appropriate for a problem
  • To get hands-on experience in Machine Learning problems

Who should participate?

  • Working professionals
  • Data Science or Machine Learning enthusiasts
  • College students (if you understand the basics of predictive modeling)


Machine Learning practice


  1. Your output will be evaluated only for 30% of the test data while the contest is running. Once the contest is over, output for the remaining 100% of the data will be eva...
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