Fuel Consumption - CO2 Emissions

Project is “CO2-emission-prediction-using-Regression-models”. The project uses various regression models such as Simple Linear Regression, Multiple Variable Linear Regression, Polynomial Regression, and Non-linear Regression to predict the CO2 emissions of a new car model. The dataset used in the project is publicly available and contains information on fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles. The project also uses data analysis techniques such as feature selection, cross-validation, and model evaluation to improve the accuracy of the prediction models.