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Machine Learning Algorithm Testing

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.

Notebooks

The project includes the following notebooks:

  1. K-Nearest Neighbors (KNN)
  2. Classification and Regression Trees (CART)
  3. Support Vector Machines (SVM)
  4. Neural Networks (NN)

Datasets

  • Classification: Blood Transfusion Service Center dataset
  • Regression: Energy efficiency for buildings dataset

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Testing different machine learning algorithms for both classification and regression tasks.

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