This project consists of Jupyter notebooks testing different machine learning algorithms for both classification and regression tasks. The project is part of a course conducted at the University of Santiago de Compostela (USC) during the academic year 2022-2023.
The project includes the following notebooks:
- K-Nearest Neighbors (KNN)
- Classification and Regression Trees (CART)
- Support Vector Machines (SVM)
- Neural Networks (NN)
- Classification: Blood Transfusion Service Center dataset
- Regression: Energy efficiency for buildings dataset