Climate Change: Preliminary analysis and prediction using global temperature data.

Abstract

Little has to be said when the global populus is experiencing climate change firsthand. But relations have to be established between organic data and the visible change if we must understand it better. Except for strengthening the arguments in favor of working against climate change, it also ensures we use the right tools to do so. Using the UN's Global Temperature change data. Which we first clean and restructure it to our ease. The aim is to understand in depth, the patterns and relationships in temperature rise over time. Next logical thing to do is co-relate it with rising CO-2 emissions, loss of forest cover, Air Quality index as factors. Linear and Polynomial Regression is used to train our data and get temperature rise predictions till 2059. The forecast is executed utilising 2 and 5 degree polynomial regression.