Machine Learning Projects

1. Linear Regression
2. Logistic Regression
3. Decision Tree
4. Random Forest
5. Rule-based learning (CN2 algorithm)
6. Instance-based learning (KNN algorithm)
7. Bayesian learning (Naive Bayes algorithm)
8. Support Vector Machine
9. Multilayer Perceptron
10. Knowledge transfer in Neural Networks (VGG16, ResNet50)
11. Model evaluation (LOOCV - Friedman test)
12. Clustering (SpectralClustering, KMeans - Silhuette metric)
13. Association Rules (Apriori algorithm)
14. Final Python project (tweet characterization - 3 classes - MultinomialNB)
15. Bibliographical research (Automated Machine Learning)