Predictive Data Analysis

dc.contributor.advisor	Tomán, Henrietta
dc.contributor.author	Hoang, Quoc Anh
dc.contributor.department	DE--Informatikai Kar
dc.date.accessioned	2024-06-23T17:51:03Z
dc.date.available	2024-06-23T17:51:03Z
dc.date.created	2023
dc.description.abstract	This thesis is focusing on market analysis and the application of machine learning techniques to predict movie genres of a specific streaming service. The primary objective is constructing predictive classification models that can accurately forecast movie genres based on their given descriptions. These models are then evaluated using various metrics to assess their performance and understand their limitations. The ultimate aim of this study is to gain a deeper understanding of how these predictive models function, providing valuable insights for future reference and applications. Additionally, the insights gained from this study could potentially be applied to other domains within the entertainment industry.
dc.description.course	Gazdaságinformatikus
dc.description.degree	BSc/BA
dc.format.extent	49
dc.identifier.uri	https://hdl.handle.net/2437/374541
dc.language.iso	en
dc.rights.access	Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subject	Prediction
dc.subject	Data
dc.subject	Movies
dc.subject.dspace	DEENK Témalista::Informatika
dc.title	Predictive Data Analysis

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