Difference between revisions of "GeoEstate"

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<div align="center" style="font-size:75px">GeoEstate</div>
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<div align="center" style="font-size:75px">[[File:GeoEstate_logo.png|center|link=WhereYouGeo|250px]]GeoEstate</div>
  
 
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{|style="background-color:#2DB0AF; color:#1D7372; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
 
{|style="background-color:#2DB0AF; color:#1D7372; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
 
| style="padding:0.3em; font-size:100%; background-color:#217F7F; text-align:center; color:#F5F5F5" width="10%" |  
 
| style="padding:0.3em; font-size:100%; background-color:#217F7F; text-align:center; color:#F5F5F5" width="10%" |  
[[GeoEstate HOME | <font face="Arial" color="#ffffff" size=2><b>HOME</b></font>]]
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[[GeoEstate| <font face="Arial" color="#ffffff" size=2><b>HOME</b></font>]]
  
 
| style="background:none;" width="1%" | &nbsp;
 
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{| style="background-color:#ffffff ; margin: 3px 10px 3px 10px; width="80%"|
 
{| style="background-color:#ffffff ; margin: 3px 10px 3px 10px; width="80%"|
  
| style="font-family:Open Sans, Arial, sans-serif; font-size:24px; border-top:solid #ffffff; border-bottom:solid #2DB0AF" width="9999px" | Group Members
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| style="font-family:Open Sans, Arial, sans-serif; font-size:24px; border-top:solid #ffffff; border-bottom:solid #2DB0AF" width="9999px" | The Team
 
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<li>Cerulean Koh Shiliang</li>
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<br>
<li>Daniel Ang</li>
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[[File:GeoEstate_team.png|800px]]
<li>Tang Hui Xin</li>
 
 
 
 
 
{| style="background-color:#ffffff ; margin: 3px 10px 3px 10px; width="80%"|
 
 
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:24px; border-top:solid #ffffff; border-bottom:solid #2DB0AF" width="9999px" | Project Description
 
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Previous research has indicated a relationship between the resale prices of the HDB flats and factors such as the accessibility of the estate and services available in the neighbourhood. Our group questions if this information can be used to predict future HDB resale prices, and if there are other underlying factors yet to be discovered.
 
 
 
We aim to predict future HDB resale prices to fluctuate using a Geographically Weighted Regression Model. This model will be built using factors substantiated using existing research and additional factors that could lead to changes in resale prices.
 
 
 
 
 
{| style="background-color:#ffffff ; margin: 3px 10px 3px 10px; width="80%"|
 
 
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:24px; border-top:solid #ffffff; border-bottom:solid #2DB0AF" width="9999px" | Project Motivation
 
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Latest revision as of 01:09, 22 March 2019