Skip to main content Skip to main navigation menu Skip to site footer
Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

MANAGING BIG DATA WITH METHODS MACHINE LEARNING

Published September 2023

106

80

L.N.Gumilev Eurasian national university, Astana, Kazakhstan
Kazakhstan branch of M. V. Lomonosov Moscow State University, Astana,
L.N.Gumilev Eurasian national university, Astana, Kazakhstan
National School of Physics and Mathematics, Astana, Kazahstan
Abstract

The article proposes an ensemble of machine learning algorithms and program results, including such big data management methods as regression, classification and clustering. The proposed methods in comparison allow to analyze and interpret the obtained data with the real circumstances in the real estate market. Information about real estate in the capital of Kazakhstan is considered as data. Big data is structured by such fields as cost, class, kitchen space size, area and is presented as a .csv file, processed using machine learning methods. Python was used as a programming environment, while the numpy, pandas, matplotlib, Axes3D, LinearRegression, Scikit-learn, KMeans libraries allow you to interpret and visualize the received data. The conducted computational experiment clearly demonstrates the classification of data, division into clusters, and also forms a forecast for the cost depending on the declared features.

pdf (Русский)
Language

Русский

How to Cite

[1]
Есенгалиева, Ж., Есенгалиева, А., Биктимир, Р. and Есенғали, С. 2023. MANAGING BIG DATA WITH METHODS MACHINE LEARNING. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 83, 3 (Sep. 2023), 137–144. DOI:https://doi.org/10.51889/2959-5894.2023.83.3.016.