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Regression Techniques as a Part of Supervised Learning and Scikit-Learn Python Module
Tomislav Mijošević (2018)
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics
Computer Science Research Group
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Mijošević, T. (2018). Regresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul (Undergraduate thesis). 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 20 February 2019, 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 2019 February 20] 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

Metadata
TitleRegresijske tehnike kao dio nadziranog učenja i Scikit-learn Python modul
AuthorTomislav Mijošević
Mentor(s)Domagoj Matijević (thesis advisor)
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.
Keywordsupervised learning linear regression polynomial regression logistic regression scikit-learn
Parallel title (English)Regression Techniques as a Part of Supervised Learning and Scikit-Learn Python Module
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
Lower level organizational unitsChair of Applied Mathematics
Computer Science Research Group
PlaceOsijek
StateCroatia
Scientific field, discipline, subdisciplineNATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Study programme typeuniversity
Study levelundergraduate
Study programmeUniversity undergraduate study programme in mathematics
Academic title abbreviationuniv.bacc.math.
Genreundergraduate thesis
Language Croatian
Defense date2018-09-28
Parallel 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.
Parallel keywords (Croatian)nadzirano učenje linearna regresija polinomijalna regresija logistička regresija scikit-learn
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:126:251776