Machine Learning Algorithms for Predictive Modeling: Analyzing a wide range of machine learning algorithms for predictive modeling tasks, including regression and classification

Authors

  • Dr. Andrés Páez Professor of Industrial Engineering, Universidad de los Andes (UNIANDES), Colombia Author

Keywords:

Machine Learning, Regression

Abstract

Machine learning algorithms have become indispensable tools in predictive modeling, enabling data-driven decision-making across various domains. This research paper provides a comprehensive analysis of machine learning algorithms for predictive modeling, focusing on regression and classification tasks. We review the theoretical foundations of key algorithms, discuss their strengths and weaknesses, and provide insights into their practical applications. The paper also discusses challenges and future directions in the field of predictive modeling using machine learning algorithms.

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Published

05-11-2023

How to Cite

[1]
Dr. Andrés Páez, “Machine Learning Algorithms for Predictive Modeling: Analyzing a wide range of machine learning algorithms for predictive modeling tasks, including regression and classification”, Australian Journal of Machine Learning Research & Applications, vol. 3, no. 2, pp. 190–198, Nov. 2023, Accessed: Nov. 21, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/93

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