editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 1-10, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl20232B3F0442D682A08.pdf
WEATHER PREDICTION USING MACHINE LEARNING AND STATISTICAL TECHNIQUES
Area/Stream: Artificial Intelligence, Authors: Radhika Sreedharan, Archana Praveen Kumar Keywords: Weather forecasting, Machine learning, linear regression, temperature prediction Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 1, Chapter 1Publication: IIP Proceedings Year: 2022, Month: November Page No: 1-10, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl20232B3F0442D682A08.pdf
Abstract:
Weather prediction is the use of science and technology for forecasting atmospheric conditions for a specific time and location. People made an attempt to forecast the weather casually for prosperity and correctly since the 19th century. Climate can be predicted by selecting calculable data about current atmospheric state at a specific location and utilizing meteorology to design how atmosphere can vary. Once computed by hand on the basis changes in barometric pressure, present climatic conditions, and sky condition or cloud cover, weather prediction now depends upon computer-based models that take lots of atmospheric factors into consideration.
Cite this: Radhika Sreedharan, Archana Praveen Kumar,"WEATHER PREDICTION USING MACHINE LEARNING AND STATISTICAL TECHNIQUES", Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 1, Chapter 1, November, 2022, 1-10, 978-93-95632-81-2, https://rsquarel.org/assets/docupload/rsl20232B3F0442D682A08.pdf
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