Difference between revisions of "GeoEstate"

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<h1>Project Description</h1>
 
<h1>Project Description</h1>
  
<p>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.
+
<p>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.</p>
  
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.
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<p>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.</p>
</p>
 

Revision as of 13:32, 11 February 2019

Group Members

  • Cerulean Koh Shiliang
  • Daniel Ang
  • Tang Hui Xin
  • Project Description

    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.