This repository contains the files used for completing the Progress Tasks of subject Machine Learning (2024-2025), in Escuela Superior de Informatica (ESI), UCLM.
| Full name | Github user |
|---|---|
| Elena Ballesteros Morallón | @elena-17 |
| Mario Jiménez Redondo | @nezred |
| Miguel Ángel Ruiz Arreaza | @MiguelAruiz |
Wine Quality Prediction. Classification vs Regression
Using a dataset of wine characteristics, the objective of this task is to select an apropiate regression and classification model to predict the quality of wine.
>> Click Here to access Progress Task 1 Information (README) <<<
Predict H1N1 and Seasonal Flu Vaccines Competition
The objective is to build a predictive model that estimates the likelihood of individuals receiving two different vaccines: the H1N1 flu vaccine and the seasonal flu vaccine. This is a competition.
>> Click Here to access Progress Task 2 Information (README) <<<
How do disinformers write? An unsupervised approach for stylistics characterization of false information spreaders.
The objective of this task is to analyze and compare the narratives of disinformers and those of trustworthy sources within the X dataset related to COVID-19. This involves identifying potential differences in linguistic patterns, themes, or other distinguishing features that characterize disinformation versus credible information.
>> Click Here to access Progress Task 3 Information (README) <<<