Introduction

In this project we will be predicting real estate property prices 5 years in the future assisting in our with our investment strategy and aiding in choosing the right property.

Data Engineering

We will need to collect a variety data from different sources.

  • Macro - Economic Data
  • Local Economic Data
  • Spatial Data
  • Crime Rate Data/ Census Data for Targeted Area
  • Consumer Sentiment
  • Local Price Values
  • Global Index?
    • FHFA House Price Index
  • Some form of consumer affordability?
  • Demographic information such as salary?
  • Distance to Larger cities.

Data Sources

Macro- Economic Indicators:

  • Fred API has a good source of tracking different indicators

Local Economic Data:

  • Local Reports? Information about businesses moving in or leaving?
  • Local unemployment?

Spatial Data:

  • Properties nearness to different locations
    • proximity to schools, stores, malls?
  • Zoning Laws are important

Crime Rates:

  • Can be pulled through publicly available census data.

Model Building

Training

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