Ended on 17th Aug'20 03:30 PM (Coordinated Universal Time)
Data Sprint #2 - Engineering Graduates Employment Outcomes
Predict The Salary of An Indian Engineering Graduate
489
Medium
Challenge Starts
14 Aug 03:30 pm
Registration Ends
17 Aug 03:30 pm
Challenge Ends
17 Aug 03:30 pm
Context
What is Engineering?
Engineering is the use of scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and buildings. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application.
Engineering is a broad discipline that is often broken down into several sub-disciplines. Although an engineer will usually be trained in a specific discipline, he or she may become multi-disciplined through experience. Engineering is often characterized as having four main branches:
chemical engineering, civil engineering, electrical engineering, and mechanical engineering.
[Reference: Wikipedia]
Engineering Graduates in India
India has a total 6,214 Engineering and Technology Institutions in which around 2.9 million students are enrolled. Every year on an average 1.5 million students get their degree in engineering, but due to lack of skill required to perform technical jobs less than 20 percent get employment in their core domain. [
source of information:
BWEDUCATION]
Objective
A relevant question is what determines the salary and the jobs these engineers are offered right after graduation. Various factors such as college grades, candidate skills, the proximity of the college to industrial hubs, the specialization one have, market conditions for specific industries determine this. On the basis of these various factors,
your objective is to determine the salary of an engineering graduate in India.
Inspiration
The data can be used not only to make an accurate salary predictor but also to understand what influences salary and job titles in the labour market. It’s up to you to explore things.
Evaluation Criteria
Submissions are evaluated using Root-Mean-Squared-Error (RMSE).
How do we do it?
Once you generate and submit the target variable predictions on the testing dataset, your submissions will be compared with the true values of the target variable.
The True or Actual values of the target variable are hidden on the DPhi Practice platform so that we can evaluate your model's performance on testing data. Finally, a Root-Mean-Squared-Error (RMSE) for your model will be generated and displayed.
Timeline
Start Date: 14th August 2020, 21:00 hours IST / 17:30 hours CET
(please locate your time
here
)
End Date:
17th August 2020, 9:00 hours IST / 17:30 hours CET (
please locate your time
here
)
Do you like to understand the problem through code?
Don't worry! Understand through code! Here is your getting started code
Problem Setter: Manish KC