Auto MPG Prediction using Linear Regression

This project is a linear regression analysis of the auto-mpg dataset. The goal is to build a predictive model that estimates a car's Miles Per Gallon (MPG) based on various vehicle characteristics.

Key Contributions:

Comprehensive data preprocessing

Feature engineering to enhance model performance

Data visualization to uncover insights

Achieved an R² score of ~0.87