ENCODING OF CATEGORIAL FEATURES IN NEURAL NETWORKS
Journal: SCIENTIFIC PAPERS COLLECTION OF THE ANGARSK STATE TECHNICAL UNIVERSITY
Volume 2021 № 1
, 2021
Rubrics: TECHNICAL CYBERNETICS
Authors:
1.
Federal State Funded Educational Establishment of Higher Education «Angarsk State Technical University»
Russian Federation
Russian Federation
Type:
Article
Pages:
from 3
to 8
Status:
Published
Received:
30.06.2021
Accepted:
05.07.2021
Published:
05.07.2021
Subject area:
GRNTI 28.01 Общие вопросы кибернетики
Language:
Russian
Keywords:
Machine learning, neural networks, data analysis, coding, programming.
Abstract (English):
The relevance and areas of application of machine learning are investigated, one of the machine learn-ing algorithms - neural networks, as well as one of the data preparation processes before extracting a mathematical model - the coding of categorical features using the target coding method is consid-ered. Implemented a coding algorithm in the Python programming language
The relevance and areas of application of machine learning are investigated, one of the machine learn-ing algorithms - neural networks, as well as one of the data preparation processes before extracting a mathematical model - the coding of categorical features using the target coding method is consid-ered. Implemented a coding algorithm in the Python programming language
Keywords:
Machine learning, neural networks, data analysis, coding, programming.
Machine learning, neural networks, data analysis, coding, programming.
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