This is a report developed by me and Alessio Carachino for Machine Learning and Pattern Recognition course.
We have tested some techniques studied during the lectures, all of them developed from scratch:
- Preprocessing:
- Z-score Normalization
- Gaussianized Features
- PCA (Principal Component Analysis)
- LDA (Linear Discriminant Analysis)
- Classification Models:
- Multivariate Gaussian Classifiers
- Logistic Regression
- Support-vector Machine
- Gaussian Mixure Models
Feel free to check out the report!