Supervised Learning Algorithms for Sales Projection of Ecuadorian Shrimp with Python Programming Language

This research develops the best approximation for the non-linear projection of sales of a shrimp company listed on the Stock Exchange, in contrast to published corporate linear estimates. It starts from the search for data through a SWOT of the variable of interest: average price of Ecuadorian shrim...

• Autore principale: Cordero-Torres, Bernardo Patricio (author)
• Natura: article
• Lingua: spa
• Pubblicazione: 2022
• Soggetti: Econometría; Aprendizaje supervisado; Lenguaje de programación python; Proyección de ventas; Industria camaronera; Python programming language; Econometrics; Supervised learning; Sales projection; Shrimp industry
• Accesso online: https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996