This project implements a machine learning model to predict the prices of used cars based on various features such as mileage, engine size, model year, and fuel type. The model is built using XGBoost, ...

💼 Employee Salary Prediction This is a machine learning project that predicts employee salaries based on factors like years of experience, age, education level, department, and city. The system uses ...

This study proposes an interpretable ML framework for energy demand prediction based on the Boruta-Lasso two-stage feature selection model, extreme gradient boosting (XGBoost) regression model, grid ...