SETTER: Syed

A Fine Windy Day: HackerEarth Machine Learning challenge

Online 753 Participating LIVE

OPENS AT: Apr 26, 04:00 PM

CLOSES ON: May 26, 04:00 PM

DURATION: 30 days

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ABOUT CHALLENGE

Problem statement

It is the year 2021 and we are at the verge of a massive climatic change. With global warming at its peak and fossil fuels inching towards its extinction, it is the need of the hour to step up and take responsibility for our planet. Developing countries all over the world are making a shift towards a cleaner energy source and are looking at ways to expand their global energy source power. 

Switching to renewable energy sources is a great way to reduce dependency on imported fuels and increase cost efficiency. It is time we move towards a low-carbon future by embracing solar, hydro, geothermal energy and so on, to protect mother nature.

An efficient energy source that has been gaining popularity around the world is wind turbines. Wind turbines generate power by capturing the kinetic energy of the wind. Factors such as temperature, wind direction, turbine status, weather, blade length, and so on influence the amount of power generated.

Task

You are appointed by an environmentalist for their Non Government Organization as a climate warrior who comes to the rescue. Your task is to build a sophisticated Machine Learning model that predicts the power that is generated (in KW/h) based on the various features provided in the dataset.

Dataset

The dataset consists of parameters such as the temperature, wind direction, turbine status, weather, blade length, and the like.

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 a model that predicts the probability percentage of a marketing lead to convert into a client and purchase the product.
  • This challenge will help you enhance your knowledge of regression. Regression is one of the basic building blocks of Machine Learning.

We challenge you to build a model that successfully predicts the probability percentage of a marketing lead to convert into a client and purchase the product.

Prizes

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.

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

Here’s presenting HackerEarth Machine Learning challenge:A Fine Windy Day

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

GUIDELINES

  • 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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