Weather prediction with machine learning
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 get...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/166108 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-166108 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-1661082023-04-21T15:37:21Z Weather prediction with machine learning Liew, Hon Weng Long Cheng School of Computer Science and Engineering c.long@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Pattern recognition 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. Bachelor of Engineering (Computer Science) 2023-04-21T07:33:21Z 2023-04-21T07:33:21Z 2023 Final Year Project (FYP) Liew, H. W. (2023). Weather prediction with machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166108 https://hdl.handle.net/10356/166108 en application/pdf Nanyang Technological University |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| spellingShingle |
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Liew, Hon Weng Weather prediction with machine learning |
| description |
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. |
| author2 |
Long Cheng |
| author_facet |
Long Cheng Liew, Hon Weng |
| format |
Final Year Project |
| author |
Liew, Hon Weng |
| author_sort |
Liew, Hon Weng |
| title |
Weather prediction with machine learning |
| title_short |
Weather prediction with machine learning |
| title_full |
Weather prediction with machine learning |
| title_fullStr |
Weather prediction with machine learning |
| title_full_unstemmed |
Weather prediction with machine learning |
| title_sort |
weather prediction with machine learning |
| publisher |
Nanyang Technological University |
| publishDate |
2023 |
| url |
https://hdl.handle.net/10356/166108 |
| _version_ |
1764208097308442624 |