Closed Varunshiyam closed 1 week ago
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| Name | Status | Preview | Comments | Updated (UTC) |
|---|---|---|---|---|
| ml-nexus | ✅ Ready (Inspect) | Visit Preview | 💬 Add feedback | Nov 9, 2024 2:39am |
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1 week ago 🎉🎉 Thank you for your contribution! Your PR #831 has been merged! 🎉🎉
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.