README.md

Bachelor BWL Course :: "Machine Learning"

A series of interactive lab notebooks we prepared for the Machine Learning course offered in the Bachelor of Arts in Business Administration at the University of St. Gallen. The content of the series of Jupyter Notebook 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: "Support Vector Classification and Feature Engineering" (, )

Lab 04: "Artificial Neural Network (ANN) Classification" (, CPU: , GPU: )

Lab 05: "Convolutional Neural Network (CNN) Classification" (, )

Running the Coding Challenge "Kick-Start" Notebook

Coding Challenge: "Data Download Notebook" (, )

Additonal Lab Notebook

Lab 10: "Autoencoder Neural Networks" (, )

Getting Started

Install dependencies via pip install -r requirements.txt.

Questions?

Pls. don't hesitate to send us all your questions using the course mail address:

aiml-teaching ( dot ) ics ( at ) unisg ( dot ) ch