Comparative Analysis of Methods for Forecasting the Number of Requests to the Banking System

Student: Ganina Aleksandra

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Mathematical Methods of Modelling and Computer Technologies (Master)

Year of Graduation: 2020

This paper considers several methods for predicting time series based on a stream data of bank requests. Using the Python software package, different models are compared to solve the problem of predicting the average system load and peak value for a month. The main purpose of the comparative analysis is to identify the most optimal model for predicting these values.

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