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undergraduate thesis
Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. urn:nbn:hr:126:251776
Mijošević, Tomislav
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics and Computer Science
Computer Science and Machine Learning Research Group

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Mijošević, T. (2018). Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:251776

Mijošević, Tomislav. "Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:251776

Mijošević, Tomislav. "Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:251776

Mijošević, T. (2018). 'Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 17 September 2024, https://urn.nsk.hr/urn:nbn:hr:126:251776

Mijošević T. Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2018 [cited 2024 September 17] Available at: https://urn.nsk.hr/urn:nbn:hr:126:251776

T. Mijošević, "Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:126:251776

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Metadata
TitleRegresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul
Title (english)Regression Techniques as a Part of Supervised Learning and Scikit-Learn Python Module
AuthorTomislav Mijošević
MentorDomagoj Matijević (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Applied Mathematics and Computer Science)
(Computer Science and Machine Learning Research Group)
Osijek
Defense date and country2018-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovom radu upoznat ćemo se s glavnim problemima nadziranog učenja: regresijom i klasifikacijom. Glavni dio ovog rada podijeljen je na dva poglavlja, pri čemu se prvo bavi regresijskim problemima, a drugo klasifikacijskim. Pokazat ćemo i objasniti konstrukcije matematičkih modela potrebnih za riješavanje ovih problema, ukazati na nedostatke osnovnih modela i pokazati način na koji te nedostatke možemo ukloniti. Na kraju rada pokazat ćemo implementaciju tih modela u programskom jeziku Python pomoću modula scikit-learn.
Abstract (english)
In this paper we will introduce main problems of supervised learning: regression and classification. Main part of the paper is divided into two sections, whereby first deals with regression problems, and the second deals with classification problems. We will show and explain the construction of mathematical models needed to solve these problems, point out the shortcomings of the basic models and show how to remove those shortcomings. At the end of the paper we will show the Python implementation of these models using scikit-learn module.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:251776
Study programmeTitle: University undergraduate study programme in mathematics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryRepository of School of Applied Mathematics and Computer Science
Created on2018-10-17 07:28:50