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Machine 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. Machine 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.

Here is the new HackerEarth’s Machine Learning challenge - Freedom from uncertainty.  

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


  • 1st Prize - 250 USD

  • 2nd Prize - 150 USD

Problem statement

Let’s consider a hypothetical scenario. In times to come, the entire planet is ruled by three companies that are making people bankrupt. The only hope to defeat them is by understanding their trading systems, such that we can dissolve them once and for all. There is already a trading agent in place. You need to maximize the damage caused to the evil trinity by building a solution. This solution needs to predict the price of the stocks of these three companies. This problem is based on financial management. 


Data set

The dataset contains all the essential parameters that affect the prices. For this particular dataset, the training set includes the prices of the stock against every day.

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

  • This challenge encourages you to apply your Machine Learning skills to build models that can predict the prices of the stock.

  • This challenge helps you to enhance your knowledge of regression actively. Regression is one of the basic building blocks of Machine Learning.

Your mission, should you choose to accept it, is to defend the world from poverty by predicting stock prices.

Why should you participate?

  • To learn and use the latest open-source libraries and packages such as TensorFlow, Keras, PyTorch, pandas, scikit-learn, etc.

  • 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)



  • In order to be able to claim your prizes, your HackerEarth profile must be completed more than 50%.
  • Only the participants currently residing in the US are eligible for the prize money. 
  • The prizes will be disbursed in the second week of the following month.


There are great prizes to be won

1st Prize

USD 250 

2nd Prize

USD 150 


  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...


How is the leaderboard rank calculated?

Your rank will be calculated in real-time by evaluating 50% of your output while the contest is live. Once the contest has ended, y...

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