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...

• المؤلف الرئيسي: Cordero-Torres, Bernardo Patricio (author)
• التنسيق: article
• اللغة: spa
• منشور في: 2022
• الموضوعات: Econometría; Aprendizaje supervisado; Lenguaje de programación python; Proyección de ventas; Industria camaronera; Python programming language; Econometrics; Supervised learning; Sales projection; Shrimp industry
• الوصول للمادة أونلاين: https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996