PREDICTING HOUSE PRICES WITH NEURAL NETWORKS

Dataset includes house sale prices for King County in USA.
Homes that are sold in the time period: May, 2014 and May, 2015.
Data Source: https://www.kaggle.com/harlfoxem/housesalesprediction

• Columns:
  — ida: notation for a house
  — date: Date house was sold
  — price: Price is prediction target
  — bedrooms: Number of Bedrooms/House
  — bathrooms: Number of bathrooms/House
  — sqft_living: square footage of the home
  — sqft_lot: square footage of the lot
  — floors: Total floors (levels) in house
  — waterfront: House which has a view to a waterfront
  — view: Has been viewed
  — condition: How good the condition is ( Overall )
  — grade: overall grade given to the housing unit, based on King County grading system
  — sqft_abovesquare: footage of house apart from basement
  — sqft_basement: square footage of the basement
  — yr_built: Built Year
  — yr_renovated: Year when house was renovated
  — zipcode: zip
  — lat: Latitude coordinate
  — long: Longitude coordinate
  — sqft_living15: Living room area in 2015(implies — some renovations)
  — sqft_lot15: lotSize area in 2015(implies — some renovations)

https://github.com/LucaMell/ML-Projects/tree/master/House%20Price%20ANN