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This project aims to predict salary of newly hired employees using machine learning techniques. It utilizes employees data and applies machine learning algorithms to predict salary for newly hired employees.
SalaryPredictionLinearReg is a Python-based project utilizing linear regression to predict salaries from years of experience. It covers data loading, model training, detailed statistical analysis, and visualization of results.
Welcome to the SalaryPredictorML repository by Raj Vidja. This project uses advanced machine learning to redefine salary determination for new hires at TechWorks Consulting. Consideration of factors like education, experience, role, previous compensation, and academic records ensures fair and competitive salary predictions.
A machine learning project with a streamlit GUI that predicts salaries of developers based on their education, years of coding experience, number of languages known etc. Multiple supervised learning models were trained and the best performing one is utilised for predictions.
Salary analysis and prediction using regression techniques that take into account multiple factors that influence salaries (e.g. years of experience, age, education, country, race etc.)
Welcome to the Logistic Regression Repository! This repository aims to provide a comprehensive collection of resources and code examples for logistic regression, a powerful statistical technique used for modeling and predicting categorical outcomes.