Workshop

Generative KI & Large Language Models

This lecture was part of the “Data Literacy” undergraduate course held at University of Münster, School of Business and Economics (summer term 2024). 🎓

Korrelation & Kausalität

This lecture was part of the “Data Literacy” undergraduate course held at University of Münster, School of Business and Economics (summer term 2024). 🎓

Datenbeschaffung mittels API

This lecture was part of the “Data Literacy” undergraduate course held at University of Münster, School of Business and Economics (summer term 2023). 🎓

Arbeiten mit Textdaten

This lecture was part of the “Data Literacy” undergraduate course held at University of Münster, School of Business and Economics (summer term 2023). 🎓

Problem Sets

These assignments were part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

  1. Introduction to the Tidyverse

This lecture was part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

  1. Version Control with Git and GitHub

This lecture was part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

  1. Dynamic Programming with Rmarkdown

This lecture was part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

  1. Imbalanced Learning

This lecture was part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2020/21). 🎓

  1. Feature Engineering

This lecture was part of the “Machine Learning in R” graduate course held at University of Münster, School of Business and Economics (winter term 2020/21). 🎓