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dc.contributor.advisorFarooq, Muhammaden
dc.contributor.authorNgan, Clinton
dc.date.accessioned2022-02-15T19:49:52Z
dc.date.available2022-02-15T19:49:52Z
dc.date.issued2021
dc.identifier.citationNgan, C. (2021). Predicting Early Attritions in the Technology Industry using Machine Learning. Masters Thesis, Dublin Business School.en
dc.identifier.urihttps://esource.dbs.ie/handle/10788/4327
dc.language.isoenen
dc.publisherDublin Business Schoolen
dc.rights.urihttp://esource.dbs.ie/copyrighten
dc.subjectMachine learningen
dc.subjectTurnover (Business)en
dc.subjectAlgorithmsen
dc.titlePredicting Early Attritions in the Technology Industry using Machine Learningen
dc.typeThesisen
dc.rights.holderItems in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder.en
dc.type.degreenameMSc Data Analyticsen
dc.type.degreelevelMSc


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