Estimating the vessel project cost with machine learning
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URL
Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Master's thesis
Authors
Date
2021-01-25
Department
Major/Subject
Embedded Systems
Mcode
SCI3024
Degree programme
Master's Programme in ICT Innovation
Language
en
Pages
65
Series
Description
Supervisor
Hirvisalo, VesaThesis advisor
Katzav, TalKeywords
cost estimation, vessel project, WBS, machine learning, KNN, random forest