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undergraduate thesis
Web aplikacija za predviđanje popularnosti pjesama
2022. urn:nbn:hr:179:430370
Gradinski, Ivor
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Gradinski, I. (2022). Web aplikacija za predviđanje popularnosti pjesama (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:430370

Gradinski, Ivor. "Web aplikacija za predviđanje popularnosti pjesama." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:430370

Gradinski, Ivor. "Web aplikacija za predviđanje popularnosti pjesama." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:430370

Gradinski, I. (2022). 'Web aplikacija za predviđanje popularnosti pjesama', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:430370

Gradinski I. Web aplikacija za predviđanje popularnosti pjesama [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:179:430370

I. Gradinski, "Web aplikacija za predviđanje popularnosti pjesama", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:430370

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Metadata
TitleWeb aplikacija za predviđanje popularnosti pjesama
Title (english)Web application for predicting song popularity
AuthorIvor Gradinski
MentorTea Marasović (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U okviru ovog završnog rada izrađena je web aplikacija korištenjem Streamlit razvojnog okvira. Rad se sastoji od šest poglavlja, u kojima se opisuje povijest strojnog učenja, instalacija i način korištenja Streamlit razvojnog okvira, metoda izrade i izgleda aplikacije. Za izradu modela predikcije korištena je metoda train_test_split i algoritam linearne regresije iz sklearn biblioteke. Programski kôd aplikacije pisan je u uređivaču VS Code. Rezultat izrade je korisna aplikacija kojom je moguće približno prepoznati utjecaje različitih parametara, poput glasnoće, živosti, plesnosti i sl., na popularnost pjesama.
Abstract (english)
As part of this undergraduate thesis, a web application was created using the Streamlit development framework. The thesis consists of six chapters, which describe the history of machine learning, the installation and use of the Streamlit framework, the development process and the appearance of the application. The train_test_split method and the linear regression algorithm from the sklearn library were used to create the prediction model. The application code is written in the VS Code editor. The result of the creation process is a useful application that allows you to approximately recognize the influence of various parameters, such as loudness, liveliness, danceability, etc., on the song popularity
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:430370
Study programmeTitle: Computing
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/ prvostupnica inženjer/inženjerka računarstva (stručni/a prvostupnik/ prvostupnica inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-05-05 07:44:46