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Related Issues or bug
The rapid growth in the data science field has resulted in a wide range of salary distributions, influenced by factors such as experience, job title, employment type, and geographical location. Employers and job-seekers alike need accurate predictions to better understand compensation expectations. This project addresses the need for a reliable salary prediction model that can account for the variability within the data science job market. By using machine learning, we aim to predict salary values, assisting stakeholders in making informed financial and career decisions.
Fixes: #849
Proposed Changes
This project aims to predict salaries for data science roles using various machine learning algorithms, based on features like work experience, employment type, job title, and company location. By leveraging data analysis and feature engineering, the model identifies patterns and trends, helping provide accurate salary predictions. The dataset includes data points across several years, various experience levels, and employment types, offering a comprehensive look into factors that impact salary in the field of data science.