Repository for the subject Machine Learning (Aprendizaje Automático) in Computer Engineering's Degree at the UGR
- Contains:
- Text file that contains answers to the questions of the questionnaires and exams.
- Practices:
- P0: practical bonus to learn how to handle python, especially its numpy and matplotlib libraries.
- P1: implementation of the stochastic gradient descent and linear regression algorithm. We use linear functions applying non-linearity to solve problems that with linearity would not have been solved.
- P2: We study the complexity of function classes and noise. In addition, we program the PLA algorithm and compare it with other linear algorithms.
- P3: We solve classification and regression problems with the acquired knowledge. It goes through the entire process of data preprocessing, function class selection, training, etc.