My neighbor is a real estate agent and wants some help predicting housing prices for regions in the USA. It would be great if I could somehow create a model for her that allows her to put in a few features of a house and returns back an estimate of what the house would sell for.
She has asked you if I could help her out with my data science skills. I said yes, and decide that Linear Regression might be a good path to solve this problem!
She gave me some information about a bunch of houses in regions of the United States,it is all in the data set: USA_Housing.csv.
The data contains the following columns:
- 'Avg. Area Income': Avg. Income of residents of the city house is located in.
- 'Avg. Area House Age': Avg Age of Houses in same city
- 'Avg. Area Number of Rooms': Avg Number of Rooms for Houses in same city
- 'Avg. Area Number of Bedrooms': Avg Number of Bedrooms for Houses in same city
- 'Area Population': Population of city house is located in
- 'Price': Price that the house sold at
- 'Address': Address for the house