Browsing by Author "Zhailaubek A."

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    Analysis and the development of a mathematical model of the incidence of tuberculosis among adolescents
    (faculty of engineering and natural sciences, 2019) Zhailaubek A.
    Tuberculosis is a disease that is highly socialized. Tuberculosis morbidity and mortality of the population are important epidemiological indicators that characterize the tuberculosis infection situation. In addition to demographic and medicoorganizational, a certain contribution is made socio-economic factors to the formation the above indicators. The study's objective is to study the impact of socio-economic factors on tuberculosis incidence and mortality in the Republic of Kazakhstan. The correlation and multiple regression analysis is carried out to define influence of medical service and socio-economic factors on incidence of tuberculosis in the Republic of Kazakhstan.
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    USING MACHINE LEARNING CLASSIFICATION ALGORITHMS TO STUDY HOUSE PRICE FOR ALMATY
    (СДУ хабаршысы - 2019, 2019) Zhumabek D. ; Rayev Zh. ; Zhailaubek A. ; Temirali A.
    Abstract. In real estate valuation and house market research, house prices and rental value are generally analyzed by decision tree regression and random forest regression model based on machine learning. Regression model examines the effect of characteristics of goods on their prices. Factors that determine the house prices in Almaty are analyzed in this paper using real dataset from legal site. The most important variables that affect house rents are type of house, type of building, number of rooms, size, and other structural characteristics such as water system, pool, natural gas. Also used jupyter notebook, numpy, pandas, matplotlib, scipy and scikit-learn.