SETTER: Syed

A Perfect Fit : HackerEarth Machine Learning Challenge

Challenge Over

OPENS AT: Aug 11, 2021, 01:30 PM

CLOSES ON: Sep 10, 2021, 01:30 PM

DURATION: 30 days

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ABOUT CHALLENGE

There are hundreds, if not thousands, of applications for each job opportunity.

Recognizing the right candidates from a big applicant pool is perhaps the most difficult component of hiring, according to slightly over half (52%) of talent acquisition leaders.

The hiring process consists of soliciting potential candidates during the recruitment and then determining the best candidates to be employees during the selection process. This process can be made simpler if you know how to shortlist your applicants.

Task:

For your team, you wish to hire a Machine Learning engineer. Your supervisor has given you a job description as well as the resumes of several candidates. For the first interview round, you are assigned the task of filtering the candidates who best meet the job description provided.

You've been handed a dataset including the resumes of several candidates. Your task is to determine the percentage of a candidate who fits the job role based on the job description.

Dataset:

You've been provided a dataset including the resumes of several candidates. Your objective is to compute the percentage of a candidate who fits the job role based on the job description.

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 to compute the percentage of a candidate who fits the job role based on the job description. 
  • 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 computes the percentage of a candidate who fits the job role based on the job description.

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 the HackerEarth Machine Learning challenge: A Perfect Fit

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

 

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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