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ABOUT CHALLENGE

Overview

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 - Dark Side of the Moon.

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

Prizes

  • 1st Prize - 250 USD

  • 2nd Prize - 150 USD

  • 2 Coral USB Acclerator

data-science-competetion

 

Problem statement

Consider that you have been recruited as a research scientist at a space station. Now, it is predicted that the next lunar eclipse is going to happen soon on a particular date. The space station wants to live stream the lunar eclipse on social media and show it to all the viewers. 

However, the space station has to plan its social media calendar so that the live streaming of the eclipse doesn’t clash with any other social media activity. Hence, they have asked you to predict the time duration of the lunar eclipse. 

Data set

The dataset contains all the essential parameters that affect the duration of the eclipse. For this particular dataset, the training set includes details such as the date of occurrence of the eclipse, the time difference of the rays to travel during the eclipse, angle of rays during the eclipse, gamma radiation value, and magnitude of both first and second eclipses. 

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 the duration of the eclipse

  • This challenge will help you 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 predict the duration of the eclipse.

 

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)

Tutorials

data-science-competetion

 

 

 

 

Note:

  • 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.

PRIZES

There are great prizes to be won

1st Prize

USD 250 

2nd Prize

USD 150 

GUIDELINES

  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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