PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES

Bachelor's

Saved in:

Bibliographic Details
Main Author:	AW CHIN KAI
Other Authors:	THE BUILT ENVIRONMENT
Format:	Dissertation
Published:	2022
Subjects:	Machine Learning Real Estate Regression Industrial Property Property Valuation Ensemble Methods Bagging Boosting Stacking Random Forest Adaptive Boosting Gradient Boosting
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/226593
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-226593
record_format	dspace
spelling	sg-nus-scholar.10635-2265932024-04-12T03:27:38Z PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES AW CHIN KAI THE BUILT ENVIRONMENT WILLIE TAN Machine Learning Real Estate Regression Industrial Property Property Valuation Ensemble Methods Bagging Boosting Stacking Random Forest Adaptive Boosting Gradient Boosting Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2022-06-07T04:14:07Z 2022-06-07T04:14:07Z 2022 Dissertation AW CHIN KAI (2022). PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/226593
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Machine Learning Real Estate Regression Industrial Property Property Valuation Ensemble Methods Bagging Boosting Stacking Random Forest Adaptive Boosting Gradient Boosting
spellingShingle	Machine Learning Real Estate Regression Industrial Property Property Valuation Ensemble Methods Bagging Boosting Stacking Random Forest Adaptive Boosting Gradient Boosting AW CHIN KAI PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
description	Bachelor's
author2	THE BUILT ENVIRONMENT
author_facet	THE BUILT ENVIRONMENT AW CHIN KAI
format	Dissertation
author	AW CHIN KAI
author_sort	AW CHIN KAI
title	PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
title_short	PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
title_full	PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
title_fullStr	PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
title_full_unstemmed	PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES
title_sort	predicting the values of singapore’s b1 and b2 industrial properties
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/226593
_version_	1800915402129145856

PREDICTING THE VALUES OF SINGAPORE’S B1 AND B2 INDUSTRIAL PROPERTIES

Similar Items