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