Presentation Title: Machine Learning approach to greenhouse emission analysis

Presenter(s): Shikha Singh

Abstract: This presentation focuses on the application of machine learning techniques to assess and predict the greenhouse gases emission, notably carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), on the Earth’s atmosphere and discuss the impact. By utilizing diverse datasets encompassing atmospheric and geographical variables, the study aims to develop robust models capable of quantifying and forecasting the concentration levels of greenhouse gases.

The methodology involves preprocessing and integrating multidimensional datasets to create a comprehensive input space for machine learning models. We will be understanding the complete process from data preprocessing, exploration, analysis, and implementation of machine learning models on chosen data. Various regression and time-series analysis techniques will be employed to capture the intricate relationships within the data.”

Link to Recorded Presentation: https://youtu.be/eaBOpjVchYo