Machine Learning (Classification)

This wiki page aims to give an overview over different types of Machine Learning algorithms and explain their advantages and disadvantages as well as provide basic implementations via the scikit-learn module in Python.

Note: More in-depth introduction to machine learning is given in the Decision Tree and Random Forest entries, while the entries in Other Classifiers are more focused on their respective model.

1. Decision Tree

   Implementation of a Decision Tree classifier model.

2. Random Forest

   Implementation of a Random Forest classifier model.

3. Other Classifiers

   Implementations of Naive Bayes, Support Vector Machine and Multi-Layer Perceptron models.