title: ÐÑÐµÐ´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð·Ð¸ÑÐµÑÐºÐ¸Ñ Ð»Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð´Ð°Ð½Ð½ÑÑ Ð¸Ð· ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Crediting of individuals based on data from social networks
Creators: name: ÐÑÐ¸Ð¼Ð¾Ð², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐºÑÐµÐ´Ð¸ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÑ
ÐºÑÐµÐ´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð·Ð¸ÑÐµÑÐºÐ¸Ñ Ð»Ð¸Ñ
Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐµÑÐ¸
credit
lending to individuals
logistic regression
social networks

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description: The topic of the graduate qualification work is âCrediting of individuals based on data from social networksâ. The object of the study is the banking sector of the Russian Federation. The purpose of the master's thesis is to develop a methodology for assessing lending to individuals using modern approaches to the processing and analysis of Big data. The first section of the work provides an overview of the legal acts regulating banking activity, presents the existing methods for assessing the creditworthiness of individuals, highlights their shortcomings and ways to improve, and provides an overview of the current situation in the Russian banking sector. The second section is devoted to the collection and analysis of initial data, the construction of a logistic regression and the interpretation of the results.In the third section, the characteristics of the regional bank are given, the stages of the project implementation for the implementation of the proposed methodology are formed, and the effectiveness of this project is evaluated. The scientific novelty of the study is the development of an author's methodology for assessing the creditworthiness of individuals based on data from social networks by constructing a logistic regression.