Social Share


Problem statement

Having a pet is one of life’s most fulfilling experiences. Your pets spoil you with their love, compassion and loyalty. And dare anyone lay a finger on you in your pet’s presence, they are in for a lot of trouble. Thanks to social media, videos of clumsy and fussy (yet adorable) pets from across the globe entertain you all day long. Their love is pure and infinite. So, in return, all pets deserve a warm and loving family, indeed. And occasional boops, of course.

Numerous organizations across the world provide shelter to all homeless animals until they are adopted into a new home. However, finding a loving family for them can be a daunting task at times.  This International Homeless Animals Day, we present a Machine Learning challenge to you: Adopt a buddy.

The brighter side of the pandemic is an increase in animal adoption and fostering. To ensure that their customers stay indoors, a leading pet adoption agency plans on creating a virtual-tour experience, showcasing all animals available in their shelter. To enable that, you have been tasked to build a Machine Learning model that determines type and breed of the animal based on its physical attributes and other factors.


The dataset consists of parameters such as: a unique ID assigned to each animal that is up for adoption, date on which they arrived at the shelter, their physical attributes such as color, length and height, among other factors.

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 classify images into multiple categories
  • This challenge will help you to actively enhance your knowledge of multi-label classification. It is one of the basic building blocks of Machine Learning

We challenge you to build a predictive model that detects the type and breed of an animal based on its condition, appearance, and other factors.


Considering these unprecedented times that the world is facing due to the Coronavirus pandemic, we wish to do our bit and contribute the prize money for the welfare of the 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—Adopt a buddy

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 of Machine Learning problems. 

Who should participate?

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



  1. Your output will be evaluated only for 50% of the test data while the contest is running. Once the contest is over, output for the remaining 50% of the data will be evalu...
View All Notifications