βœ… Quiz Intro.01ΒΆ

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:

β€œGreat 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.

Question

What kind of problem is it?

  • a) a supervised problem

  • b) an unsupervised problem

  • c) a classification problem

  • d) a regression problem

Question

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

Question

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

Question

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