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Co2 emission prediction

Abstract:
The use of coal and petroleum, which are fossil fuels that contribute to global warming, has expanded along with industrial production, which has resulted in a considerable increase in CO2 emissions. The nations track CO2 emissions and create long-term plans. In this study, random forest and support vector machine techniques are used to estimate Turkey's CO2 emissions. For forecasting, attributes other than time are sometimes used, such as population and fuel use. The support vector machine method, it has been shown, yields better forecasting outcomes. final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science. Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment
3.classes will held accordingly.

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