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Problem statement

An e-commerce platform is getting all geared up for a season clearance sale and plans to leverage social media as the primary channel to reach their audiences. The campaign’s target group are individuals/families that have recently posted a picture of their indoor Christmas decor or are traveling during the holidays. 

You work at a leading social media platform and your team has been tasked to build a product recommendation engine for consumers. As part of the development team, your role is to use Deep Learning to develop a model that classifies images based on elements within the picture. These elements should be related to decor or holiday season vacations, such as a snowman, a Christmas tree, flights, and the like. 

Join #machine-learning channel on Slack


The dataset consists of over 6000 images.

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

  • This challenge encourages you to apply your Deep Learning skills to build a model that classifies an image based on holiday-related elements.
  • This challenge will help you to enhance your knowledge of multi-label classification, which is one of the basic building blocks of Machine Learning.

We challenge you to develop a model that successfully identifies holiday-related elements in images and classifies them accordingly.


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 society.


Deep Learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Deep Learning is a science that determines patterns in data. These patterns provide deeper meaning to problems and help you to first understand problems better and then solve the same with elegance. HackerEarth’s Deep Learning challenge is designed to help you improve your Deep Learning skills by competing and learning from fellow participants.

Here’s presenting HackerEarth’s Deep Learning Challenge: 'Tis STILL the season to be jolly

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)



  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 eval...
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