Create parking score for real estate price prediction

[gregpawin]

Overview

Real estate price prediction is a huge application of machine learning. Although it has been getting better recently, it still is often times wildly off. A lot of this has to do with their algorithm simply not taking all the relevant information into account. Local parking conditions do have an impact on people's quality of life and could be factored into a house price estimation.

Action items

• [ ] Scraping real estate data
• [ ] EDA
• [ ] Feature engineering
  • [ ] Create new features based on coordinates and local parking statistics
  • [ ] Examine correlations with housing closing price around same date of sale
• [ ] Create and evaluate models
• [ ] Create Flask API
• [ ] Look into scaling it

Resources/Instructions

Confer with Greg

[MichelleRT]

@gregpawin @simzou This issue has not had an update since __. If you are no longer working on this issue please let us know. If you are able to give any closing comments related to why this issue stopped being worked on or if there are any other notes that never got added to the issue. We would appreciate it. If you are still working on the issue, please provide update using these guidelines

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[akhaleghi]

@gregpawin @davidlamcanada is this issue currently being worked on?

[gregpawin]

No it's not being actively worked on.

[noneill256]

@gregpawin Could you add me to this issue? I'd like to try working on it.