Overview
- Predicting the transaction type (Sale or Refinance) of various properties/houses based on Real Estate Property Sales data of neighborhoods in Seattle.
- Interactive web application in R and Shiny web framework giving the users ability to change the variables/factors dynamically, point the location on a map, and see the predictions live.
- Used Logistic Regression and Random Forest methods to implement and tune the predictive models.
- Libraries required:
- randomForest
- Caret
- dplyr
- ggplot2
- Shiny