Towards Net-Zero targets : usage of data science for long-term sustainability pathways / Neha Sharma and Prithwis Kumar De.

Includes bibliographical references and index.

1. Climate Change and AI in the Financial, Energy, Domestic, and Transport Sectors-- 2. Role of Banking Sector in Climate Change-Literature Review and Data Preparation-- 3. Application of Machine Learning to Predict Climate Change Consequences Arising Due to Investments by Banks in Fossil Fuel Sectors-- 4. Effect of Non-renewable Energy Sources on Climate Change in India-Literature Review and Data Preparation-- 5. Using Machine Learning to Predict the Effect of Non-renewable Energy Sources on Climate Change in India-- 6. Impact of Household Emissions on Climate Change in India-Literature Review and Data Preparation-- 7. Use of Unsupervised Machine Learning Algorithms to Segment Indian States Based on Primary Energy Household Emissions-- 8. Application of Machine Learning in Climate Change for Transport Sector- Literature Review and Data Preparation-- 9. Application of Machine Learning to Predict CO2 Emission from Transport Sector to Mitigate Climate Change-- 10. Carbon Emissions Calculator: Impact of AI on Climate Change.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.