Ідентифікація та вибір оптимальної моделі для прогнозування концентрації нітратів у річковій воді Південного Бугу

Abstract

This paper is devoted to the identification and selection of the optimal model for forecasting the concentration of nitrates in the river water of the Southern Bug, which were implemented in the Python programming language Preliminary data analysis was carried out with the help of more complex libraries, in comparison with analogues. Models for processing and forecasting time series were used to forecast the concentration of nitrates.