This repository contains content of my lecture in data science. The focus is on using algorithms (you know, the fun stuff), since the students learn the theory in the first part of the lecture. The target audience are bachelor of science students in industrial engineering, and computer science to some extent.
- Introduction to Jupyter Notebooks, Python, Numpy, Pandas and Visualization
- Association Analysis
- Classification
- Clustering
- Further Readings
OST Eastern Switzerland University of Applied Sciences formerly known as HSR University of Applied Sciences Rapperswil
Lisenced under the MIT License. So, feel free to use the content.