Data Scientist Salary Prediction #831
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
The latest updates on your projects. Learn more about Vercel for Git ↗︎
|
|
👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. |
UppuluriKalyani
approved these changes
Nov 9, 2024
|
🎉🎉 Thank you for your contribution! Your PR #831 has been merged! 🎉🎉 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Related Issues or bug
The demand for data science professionals has risen globally, leading to varied salary ranges based on experience, company size, and employment type. Organizations and job seekers alike need accurate insights into salary expectations based on these factors. This project aims to develop a model that predicts data scientist salaries based on comprehensive feature analysis, enabling both employers and employees to make data-informed salary negotiations and decisions.
Describe
Fixes: #829
Proposed Changes
This project aims to predict the annual salaries of data scientists based on various factors such as experience level, employment type, job title, remote work ratio, and company size. The dataset contains information about data science professionals worldwide, including their work years, employment conditions, geographical details, and compensation figures. By using regression models, the project attempts to uncover relationships between these variables and forecast salaries accurately.