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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Bibliographic Details
Main Author: Cordero-Torres, Bernardo Patricio (author)
Format: article
Language:spa
Published: 2022
Subjects:
Python programming language
Econometrics
Supervised learning
Sales projection
Shrimp industry
Econometría
Aprendizaje supervisado
Lenguaje de programación python
Proyección de ventas
Industria camaronera
Online Access:https://revistas.ute.edu.ec/index.php/economia-y-negocios/article/view/996
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