Computational Intelligence Course

Reports and Python code for the practical part of the Computational Intelligence course at Technical University of Graz.

It covers the most important concepts and methods form the areas machine learning, neural networks, statistical modelling and classification.

Topics:

• Linear and Logistic Regression
• Neuronal Nets
• Support Vector Machine (SVM), Kernels & Multiclass classification
• Maximum Likelihood (ML) Estimation
• Expectation Maximization and k-means Algorithm

Requirements

Python 3.x and pip

Install scipy, numpy and matplotlib (Anaconda recommended)