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The goal of this project is to model the relationship between vehicle specifications and CO2 emissions using **Multiple Linear Regression**. We aim to predict `CO2EMISSIONS` from features like `ENGINESIZE`, `CYLINDERS`, and `FUELCONSUMPTION_COMB`.
The goal of this project is to explore the relationship between a vehicle’s engine characteristics and its CO2 emissions using **simple linear regression**. We aim to model how features such as engine size and fuel consumption correlate with CO2 output.
This notebook investigates **multiple linear regression** and **polynomial regression** techniques for modeling and predicting relationships between variables in a dataset. The goal is to understand, apply, and compare these regression approaches in practice, analyze results, and reflect on common issues and learning points.