Prediction of House Prices based on Linear Regression Model.
The program is focused on using regression to predict a continuous value (house prices) from features of the house (square feet of living space, number of bedrooms,...).
- condition: condition of house
- grade: measure of quality of construction
- waterfront: waterfront property
- view: type of view
- sqft_above: square feet above ground
- yr_built: the year built
- yr_renovated: the year renovated
- lat,long: the lat-long of the parcel
- sqft_living15: average sq.ft. of 15 nearest neighbors
- sqft_lot15: average lot size of 15 nearest neighbors