A Machine Learning Pipeline for Forecasting Time Series in the Banking Sector

A Machine Learning Pipeline for Forecasting Time Series in the Banking Sector

The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A lite...

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Bibliographic Details
Main Authors: Olga Gorodetskaya, Yana Gobareva, Mikhail Koroteev
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Economies
Subjects:
machine learning
artificial neural networks
data mining
ATMs
time series forecasting
load forecasting
Online Access:https://www.mdpi.com/2227-7099/9/4/205

Internet

https://www.mdpi.com/2227-7099/9/4/205

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