Application of machine learning for predictions of consecutive dependent data of type {[(a, b) → c] →− d}

Application of machine learning for predictions of consecutive dependent data of type {[(a, b) → c] →− d}

Objective: Machine learning techniques have emerged in response to the desire for automatic pattern detection within datasets in fields such as statistics, mathematics, and data analytics. They allow for the extraction of relevant information from datasets of significantly large volumes, providing t...

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Bibliographic Details
Main Authors: Diego Alexander Quevedo Piratova, Jhon Uberney Londoño Villalba, Arnaldo Andres Gonzalez Gomez
Format: Article
Language:Spanish
Published: Universidad Distrital Francisco Jose de Caldas 2024-01-01
Series:Tecnura
Subjects:
algorithms
datasets
decision trees
python
prediction
scikit-learn
linear regression
Online Access:https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/22094
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