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Forecasting Approach of Salaries for Key Skills Based on hh.ru Vacancies

Student: Mirskoy Alexander

Supervisor: Armen Beklaryan

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Final Grade: 8

Year of Graduation: 2019

As part of this work, the relationship between the textual description of the job advertisement and the salary declared in the job advertisement was examined . A script has been developed for loading data on vacancies from the website hh.ru. In this paper, the text was analyzed using the IBM SPSS Modeler 18.2 system. A predictive model was built using machine learning algorithms in the Python 3.6 programming language.

Full text (added May 20, 2019)

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