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Machine Learning for Economics and Finance/README.md
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# Introduction
This repository contains materials designed to complement the university course "Machine Learning for Economics and Finance." The content is based on the foundational work by James, G., Witten, D., Hastie, T., and Tibshirani, R. in their book "An Introduction to Statistical Learning."
These materials have been adapted by Prof. Dr. Ole Wilms to fit the course requirements and further transformed and expanded by me from R to Python. I have also introduced additional topics, including an introduction to Python, optimal data handling techniques—from loading and cleaning datasets to final evaluations—ensuring students are well-equipped for practical applications in future semesters.
**Git clone**:<br>