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Title:
Primerjava programskih jezikov Python in R za namene strojnega učenja : diplomsko delo
Authors:
ID
Zupan, Peter
(Author)
ID
Fister, Iztok
(Mentor)
More about this mentor...
Files:
VS_Zupan_Peter_2020.pdf
(1,16 MB)
MD5: 2A1C37268E14BAB1D8ACD81050E07F7C
PID:
20.500.12556/dkum/280ae427-6898-4ba0-9978-5eb20172af79
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomski nalogi primerjamo programska jezika R in Python za namene strojnega učenja. Najprej razložimo, kaj je strojno učenje, nato opišemo algoritme, ki smo jih uporabili pri praktičnih primerih, ter predstavimo programska jezika R in Python. V nadaljevanju diplomskega dela na treh različnih primerih prikažemo delovanje obeh programskih jezikov. Nalogo zaključimo s primerjavo programskih jezikov na podlagi pridobljenih rezultatov in ugotovitev iz praktičnega dela.
Keywords:
strojno učenje
,
R
,
Python
,
linearna regresija
,
odločitvena drevesa
,
nevronske mreže
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[P. Zupan]
Year of publishing:
2020
Number of pages:
IX, 51 f.
PID:
20.500.12556/DKUM-77796
UDC:
004.43:004.85(043.2)
COBISS.SI-ID:
40692739
NUK URN:
URN:SI:UM:DK:AA0XUBGW
Publication date in DKUM:
02.11.2020
Views:
1057
Downloads:
167
Metadata:
Categories:
KTFMB - FERI
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:
ZUPAN, Peter, 2020,
Primerjava programskih jezikov Python in R za namene strojnega učenja : diplomsko delo
[online]. Bachelor’s thesis. Maribor : P. Zupan. [Accessed 17 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=77796
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
15.09.2020
Secondary language
Language:
English
Title:
Comparison of Python and R programming languages for machine learning purposes
Abstract:
In this thesis we compare programming languages R and Python for the purposes of machine learning. It opens with an explanation of what machine learning is, which is followed by a description of the algorithms used in practical examples, and an introduction to R and Python. We demonstrate the use of the two programming languages on three different examples, concluding with a comparison of R and Python based on the results and findings yielded by practical work.
Keywords:
machine learning
,
R
,
Python
,
linear regression
,
decision trees
,
neural networks
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