Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166108
Title: Weather prediction with machine learning
Authors: Liew, Hon Weng
Keywords: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Liew, H. W. (2023). Weather prediction with machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166108
Abstract: The world is made up of countless uncertainties and many of which cause irreversible damage to human life. The weather is one of the most unpredictable things in nature, and it affects our day-to-day lives on a scale many would never have thought of ordinarily. From minor inconveniences like getting drenched in the rain, to vital processes to human growth through agricultural means, accurate weather prediction is paramount to the quality of life. This study aims to utilize machine learning models and algorithms to predict the weather in Singapore, using meteorological data provided by government organizations.
URI: https://hdl.handle.net/10356/166108
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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