A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS
Bachelor's
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2021
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/204451 |
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sg-nus-scholar.10635-2044512021-10-29T02:45:00Z A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS LIM JING EN MICHAEL MATHEMATICS TONG XIN Bachelor's BACHELOR OF SCIENCE (HONOURS) 2021-10-28T01:07:49Z 2021-10-28T01:07:49Z 2019 LIM JING EN MICHAEL (2019). A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/204451 |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| description |
Bachelor's |
| author2 |
MATHEMATICS |
| author_facet |
MATHEMATICS LIM JING EN MICHAEL |
| author |
LIM JING EN MICHAEL |
| spellingShingle |
LIM JING EN MICHAEL A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| author_sort |
LIM JING EN MICHAEL |
| title |
A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| title_short |
A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| title_full |
A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| title_fullStr |
A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| title_full_unstemmed |
A DEEPER LOOK AT STOCK PRICE PREDICTIONS WITH A FOCUS ON SUPPORT VECTOR REGRESSION AND NEURAL NETWORKS |
| title_sort |
deeper look at stock price predictions with a focus on support vector regression and neural networks |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/204451 |
| _version_ |
1715201403786362880 |