Highlights
AirbnbAI approached you again to develop a RapidMiner process predicting the overall satisfaction of customers renting the New York City AirBnB accommodation, i.e.
? overall_satisfaction (0..5, including fractions)
AirbnbAI provided you with a sample of 882,000 listings of existing rentals and 803 of listings from Tom Slee’s AirBnB repository. The listings include the following information:
? Room id, name, type, price
? Id and name of the property host id and name
? Property geo-location, its neighbourhood and borough
? The number of reviews
? Minimum nights stay
? The number of occupants allowed in a rental
? Last date and time of posting (date of data collection)
AirbnbAI would like you to use RapidMiner to generate some insights into the rental listings and these questions are of interests:
A) Are there any trends in price and customer satisfaction? (by visualisation)
B) What kind of properties receive what type of satisfaction level? (by clustering)
C) What is the likely satisfaction level for the new rentals? (by estimation)
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