Machine Learning project using probabilistic and non-probabilistic models, unsupervised learning and probabilistic graphical models for classification of poverty.
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)
The probabilistic models used on this project are:
- Logistic Regression
- Bayesian Models
- Discriminant Analysis