Machine Learning Supervised Models

This repository contains several machine learning projects, including:

1. Random Forests and Decision Trees

• Description: This project explores the use of Random Forests and Decision Trees for a classification task.
• Dataset: drug200.csv
• Notebook: Árboles y bosques/ARBOLES_Y_BOSQUES_aleatorios.ipynb

2. K-Nearest Neighbors (KNN)

• Description: This project implements the K-Nearest Neighbors algorithm for classification.
• Dataset: KNN Vecinos/r_logistica.csv
• Documentation: KNN Vecinos/k-vecinos.docx
• Notebook: KNN Vecinos/AliciaGilMatute_KNN.ipynb

3. Support Vector Machines (SVM)

• Description: This project demonstrates the use of Support Vector Machines for classification.
• Dataset: Maquinas Vector Soporte/U.S. Colleges.dat
• Documentation: Maquinas Vector Soporte/MaquinasVectorSoporte.docx
• Notebook: Maquinas Vector Soporte/AliciaGilMatute_MSV.ipynb

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