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ABOUT CHALLENGE

Problem statement

There is no denying that air pollution is impacting nature and the climate. An Air Quality Index (AQI) value of 201 to 300 translates to very unhealthy air quality conditions for survival, with high levels of health concern. This World Meteorological Day, the government wishes to monitor the air pollution index in your city so that they can take action accordingly.

AQI values

Due to an increase in the number of vehicles in your city, the air pollution level is increasing and is consequently affecting nature. Your task is to predict the air pollution index based on the historical data provided to help the government to administer the same.

Dataset

The dataset consists of certain parameters such as humidity, wind speed and direction, temperature, visibility, and more on a particular date at a mentioned time.

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 air pollution index based on historical data of the climate
  • This challenge will help you enhance your knowledge of time-series based regression. Regression is one of the basic building blocks of Machine Learning

We challenge you to build a model that predicts the air pollution index on a specific day in the future.

Prizes

  • 1st Prize - 250 USD

  • 2nd Prize - 150 USD

  • 3rd Prize - 75 USD

Overview

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 deeper meaning to problems. First, it helps you to understand the problems better and then solve the same with elegance.

Here is the new HackerEarth Machine Learning Challenge—Calculate the air pollution index

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)

Tutorials

Machine Learning practice

Note:

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

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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