Análisis de la clasificación basado en el concepto Machine Learning por tipo de cliente en la empresa Tecopesca C.A.

Abstract

The digital age focuses on new technologies, which implies profound changes and transformations in society in a globalized world. This manifests itself in a true technological revolution. Artificial intelligence is a similar part of this era, it is the combination of algorithms proposed to create machines with human-like capabilities. It has applications in various fields such as health, finance, transportation, and education. Machine Learning is a data analysis method that automatically creates analytical models. This is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. The purpose of this work was to analyze the applicability of Machine Learning to classify customers based on total sales and sales volume in dollars represented in boxes in the tuna preservation industry. The analysis will be developed using classified trees and random forests, by collecting data from the company TECOPESCA C.A.