Used cars_Regression

This project explores used car data through extensive EDA to uncover trends and relationships. Preprocessing steps handled missing values, feature engineering, and scaling. A machine learning pipeline was built integrating these steps, and a Linear Regression model was applied to predict car prices effectively.