4.3.- Machine Learning methods for regression
In the following content, María José Gacto Colorado
, Indefinite Doctor Hired Professor in the Department of Software Engineering at the UGR
and Augusto Anguita Ruiz, i-PFIS Scholar (ISCIII) at the UGR
will explain some Methods that could be considered as paradigms of the Machine Learning for Regression.
The example has been designed using the R programming language, and this document
details the theoretical framework of the methods and/or instructions
used, as well as the R code that would be used to carry out each of the steps. of the analysis.
The evaluation of the module will be carried out based on the information contained in it as well as the content of the videos of the module. Additionally,
although it is not necessary to pass the module, for those who want to execute the commands and have previous knowledge with Jupyter Notebooks, we have made the Python Notebook available to you where you can execute the code. To do this, you must enter
the following link with a gmail account. Notebook / Notebook (link to Google Collaboratory)
Last modified: Monday, 28 February 2022, 6:10 AM