https://github.com/kcuilla/Shiny_home_valuation_model
https://github.com/kcuilla/Shiny_home_valuation_model
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/kcuilla/Shiny_home_valuation_model
- Owner: kcuilla
- Created: 2019-06-06T21:31:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-06-12T01:52:09.000Z (almost 3 years ago)
- Last Synced: 2024-08-13T07:13:42.725Z (8 months ago)
- Language: R
- Size: 11.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- jimsghstars - kcuilla/Shiny_home_valuation_model - (R)
README
### About
The purpose of this Shiny app is to show the distribution of undervalued and overvalued homes in southern California based on their actual sale price vs their estimated sale price.
The estimated sales price of each home was determined using a neural network model. The model is built using features of the house, such as number of bedrooms, number of bathrooms, square footage, as well as features of the area the house is located in, such as the median education level, crime rate, etc.
### Link to Shiny App:
https://kcuilla.shinyapps.io/shiny_app/
### Data from Zillow Kaggle competition:
https://www.kaggle.com/c/zillow-prize-1/data
### Demo:
Note: the interactive map used to show satellite imagery of the houses via MapBox, but MapBox has since removed this map option.
