МОДЕЛЮВАННЯ ARIMA ТА LSTM МОДЕЛЕЙ ЧАСОВИХ РЯДІВ В PYTHON

Анотація

This article examines the theoretical foundations and practical aspects of applying ARIMA models, RNN architecture, and the working principles of LSTM, as well as their use for time series forecasting in Python using the Statsmodels and Keras libraries. C