My romantic idea of a House Price Prediction

sabiha_acsabiha_ac Member Posts: 1 Newbie
Hello Community,

I have already searched the forum for similar problems, but unfortunately could not find a suitable answer to my problem. 
I want to predict an average purchase price per lot area for each location from a House Prediction data set.
My data is cleaned and I have no missing values etc., but "price per lot" is my label and the locations are given only as names. Most learners can't see a pattern for this mix of nominal and numerical elements and the "nominal to numerical" operator then gives me a numerical figure for each location, but how do I know which location is behind it in the end? 
I hope I could make my problem understandable and someone can help me to find my last puzzle piece.

Thank you!
Sabiha

Answers

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,287 RM Data Scientist
    so you only give it the name and from the name it should learn the price? What should it do more than using an average?

    BR,
    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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