Estimating the vessel project cost with machine learning

No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu | Master's thesis
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, Vesa
Thesis advisor
Katzav, Tal
Keywords
cost estimation, vessel project, WBS, machine learning, KNN, random forest
Other note
Citation