UPM Master's in Data Science: Machine Learning project

Machine Learning project using probabilistic and non-probabilistic models, unsupervised learning and probabilistic graphical models for classification of poverty.

Non-probabilistic models

The non-probabilistic models used on this projects are the following:

• Support Vector Machines (SVM)
• Rule Induction
• Classification Trees
• K-Nearest Neighbors (KNN)
• Artificial Neural Networks (ANN)

Probabilistic models

The probabilistic models used on this project are:

• Logistic Regression
• Bayesian Models
• Discriminant Analysis