TRAP@NCI

Future Housing: Technical Report

McDermott, Sean (2017) Future Housing: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

As the economy is starting to gradually improve after the downturn several years ago, the housing market has benefitted and started to rise as a result. As this market has risen, the prices of the houses and apartments have followed suit. Reading an article on https://www.daft.ie/report/ronan-lyons-2016q1-houseprice, Ronan Lyons states:
“Starting in 2013, house price inflation reappeared in the capital, after an absence of six years and within 18 months, prices had risen by over 40% on average – and almost 50% in some districts.”

This technical report contains a descriptive analysis and evaluation on the housing prices throughout Dublin. This analysis will be performed to summarize and describe the data and find patterns within the datasets. The second half of this project will introduce machine learning and aim to predict housing prices throughout different areas of Dublin. This analysis will be based on the information contained in the data sets. The prices of the houses/apartments will be the figures that the machine learning algorithm will consume and produce the results from. The results of the machine learning model will be compared to the test data obtained from www.propertypriceregister.ie. The accuracy of the comparisons will determine if the analysis was a success or failure.

Having a model that will accurately predict future housing prices per post code in Dublin will be valuable for home buyers that want an idea of how much they will need to spend if they want to purchase a house or apartment during that time of the year.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

H Social Sciences > HD Industries. Land use. Labor > Housing
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 02 Nov 2017 15:12
Last Modified: 02 Nov 2017 15:12
URI: http://trap.ncirl.ie/id/eprint/2730

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