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...

• Päätekijä: Cordero-Torres, Bernardo Patricio (author)
• Aineistotyyppi: article
• Kieli: spa
• Julkaistu: 2022
• Aiheet: Python programming language; Econometrics; Supervised learning; Sales projection; Shrimp industry; Econometría; Aprendizaje supervisado; Lenguaje de programación python; Proyección de ventas; Industria camaronera
• Linkit: https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996