MUG Master Course :: "Introduction into Machine Learning and Deep Learning"

A series of interactive lab notebooks we prepared for the 7.253.1,00 Introduction into Machine Learning and Deep Learning course offered in the Master of Arts in Business Management (MUG) at the University of St.Gallen (HSG).

The content is build on a series of Jupyter Notebooks based on Python, IPython Notebook, Scikit-Learn and PyTorch.

A series of interactive lab notebooks we prepared for the Introduction into Machine Learning and Deep Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.

Cloning the repository to Azure Notebooks:

This is currently work in progress so expect minor errors and some rough edges ;)

Running the Lab Notebooks

Lab 00: "Testing the Lab Environment" (, )

Lab 01: "Introduction to the Lab Environment" (, )

Lab 02: "Fundamentals of Python Programming"

Lab 03: "Supervised Machine Learning"

• Naive-Bayes: (, )
• k-Nearest Neighbors: (, )
• Logistic Regression: (, )

Lab 04: "Unsupervised Machine Learning"

• k-Means Clustering: (, )
• Expectation-Maximization: (, )

Lab 05: "Supervised Deep Learning - ANNs" (, )

Lab 06: "Supervised Deep Learning - CNNs" (, )

Getting Started

Install dependencies via pip install -r requirements.txt.

Questions?