prikaz prve stranice dokumenta Regresijska analiza u programskom jeziku Python
Access restricted to students and staff of home institution
undergraduate thesis
Regresijska analiza u programskom jeziku Python
Rijeka: University of Rijeka, Faculty of Engineering, 2021. urn:nbn:hr:190:577751
Rizvić, Antonela
University of Rijeka
Faculty of Engineering
Department of Mathematics, Physics, and Foreign Languages
Section of Applied Mathematics

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Rizvić, A. (2021). Regresijska analiza u programskom jeziku Python (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:577751

Rizvić, Antonela. "Regresijska analiza u programskom jeziku Python." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:577751

Rizvić, Antonela. "Regresijska analiza u programskom jeziku Python." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:577751

Rizvić, A. (2021). 'Regresijska analiza u programskom jeziku Python', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 29 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:577751

Rizvić A. Regresijska analiza u programskom jeziku Python [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 December 29] Available at: https://urn.nsk.hr/urn:nbn:hr:190:577751

A. Rizvić, "Regresijska analiza u programskom jeziku Python", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:577751

Metadata
TitleRegresijska analiza u programskom jeziku Python
Title (english)Regression analysis in the Python programming language
AuthorAntonela Rizvić
MentorIvan Dražić (mentor)
MentorViktor Sučić (komentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberIvan Dražić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Mathematics, Physics, and Foreign Languages)
(Section of Applied Mathematics)
Rijeka
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom se radu obraduje jednovarijatna i multivarijatna regresijska analiza, koristeći program Python. Kao pomoćni programi Spyder i Anaconda koriste se kako bi se implementirali svi potrebni paketi za pokretanje biblioteka i naredbi za regresijsku analizu. Primjeri jednovarijatne regresije izracunati su, grafički prikazani i opisani, dok je primjer multivarijatne regresije računski proučen i opisan. Spominju se osnovne naredbe za programiranje u Pythonu te se opisuju postupci opće regresije i korelacije kao i njihova glavna obilježja.
Abstract (english)
In this paper I will describe single-variant and multivariate regression analysis, using the Python program. As utilities, Spyder and Anaconda are used to implement all the necessary packages to run libraries and commands needed for regression analysis. Examples of one-variation regression were calculated, plotted and described, while an example of multivariate regression was computationally studied and described.In this work, I mentioned basic commands for programming in Python but also described general regression and correlation procedures as well as their main features.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:577751
Study programmeTitle: Undergraduate University Study of Electrical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-26 07:04:44