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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Predicting Salary of an Employee using Machine Learning |
| Authors Name: | A N V ManiKumar , T Abhishek Manohar , D Akhil , Ch Manideep , A V Sudhakar Rao |
| Unique Id: | IJSDR2404019 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Predicting Salary of an Employee using Machine Learning is an innovative machine learning-driven application developed to streamline the process of determining fair and competitive salaries for newly hired employees. Throughout the development, statistical methods and hypothesis testing are incorporated to evaluate the model’s performance and ensure the reliability of results. Various regression models such as Linear regression, KNN, Decision trees, and Ensemble techniques like Bagging, Boosting and Random Forest models and others are built and compared to identify the most effective model for predicting employee salaries. The user-friendly interface, built with Streamlit, allows seamless interaction, making it accessible for both HR professionals and job seekers. |
| Keywords: | Preprocessing, Comparison, Random Forest, Streamlit. |
| Cite Article: | "Predicting Salary of an Employee using Machine Learning ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.137 - 140, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404019.pdf |
| Downloads: | 000338172 |
| Publication Details: | Published Paper ID: IJSDR2404019 Registration ID:210643 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 137 - 140 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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