✅ Quiz Intro.01¶
Given a case study: pricing apartments based on a real estate website. We have thousands of house descriptions with their price. Typically, an example of a house description is the following:
“Great for entertaining: spacious, updated 2 bedroom, 1 bathroom apartment in Lakeview, 97630. The house will be available from May 1st. Close to nightlife with private backyard. Price ~$1,000,000.”
We are interested in predicting house prices from their description. One potential use case for this would be, as a buyer, to find houses that are cheap compared to their market value.
What kind of problem is it?
a) a supervised problem
b) an unsupervised problem
c) a classification problem
d) a regression problem
What are the features?
a) the number of rooms might be a feature
b) the post code of the house might be a feature
c) the price of the house might be a feature
What is the target variable?
a) the full text description is the target
b) the price of the house is the target
c) only house description with no price mentioned are the target
What is a record (a sample)?
a) each house description is a record
b) each house price is a record
c) each kind of description (as the house size) is a record