A retail demand forecasting system of product groups characterized by time series based on “ensemble machine learning” techniques with feature enginnering

Aguilar Castro, José Lisandro2022-04-252022https://hdl.handle.net/10784/31174application/pdfengTodos los derechos reservadosPronóstico de la demandaAprendizaje automáticoIngeniería de característicasSeries de tiempoA retail demand forecasting system of product groups characterized by time series based on “ensemble machine learning” techniques with feature enginneringinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/closedAccessAPRENDIZAJE AUTOMÁTICO (INTELIGENCIA ARTIFICIAL)ANÁLISIS DE SERIES DE TIEMPOPROBABILIDADESDemand forecastingMachine learningFeature engineeringTime seriesEnsemble learning methodsAcceso metadatos2022-04-25Mejía Chitiva, Santiago006.3 M516reponame:Repositorio Institucional Universidad EAFITinstname:Universidad EAFITrepourl:https://repository.eafit.edu.cohttp://purl.org/coar/access_right/c_14cb