Salary Prediction: Case Study

Nada Salaheddin Gheriyani; Dr. Jumaa Ibrahim Dbeea

المؤلفون

Nada Salaheddin Gheriyani
ng2103009@cctt.edu.ly
Software Development Technology, Postgraduate Department, College of Computer Technology Tripoli CCTT, Tripoli, Libya
Dr. Jumaa Ibrahim Dbeea Software Development Technology, Postgraduate Department, College of Computer Technology Tripoli CCTT, Tripoli, Libya

الكلمات المفتاحية:

Salary Prediction، Machine Learning، Linear Regression، Data Preprocessing، Model Training، Years of Experience

الملخص

This case study delves into the domain of salary prediction, focusing on the relationship between an individual's years of experience and their salary. Accurate salary estimation is pivotal in career planning and talent acquisition, offering insights for both job seekers and employers. The study employs a dataset encompassing years of experience and corresponding salaries, exploring the predictive power of machine learning models, particularly linear regression. It involves data preprocessing, model training, evaluation, and interpretation. Findings provide valuable insights into salary determination and underscore the significance of years of experience. Limitations and avenues for future research are also discussed.

Dimensions