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

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...

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Hlavní autor: Cordero-Torres, Bernardo Patricio (author)
Médium: article
Jazyk:spa
Vydáno: 2022
Témata:
Econometría
Aprendizaje supervisado
Lenguaje de programación python
Proyección de ventas
Industria camaronera
Python programming language
Econometrics
Supervised learning
Sales projection
Shrimp industry
On-line přístup:https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996
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https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996

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