Portfolio item number 1
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Short description of portfolio item number 1
Descriptive data analysis of delays in the Munich S-Bahn based on a self-collected dataset on my line [DE]
Published in Ludwig-Maximilians-Universität München, 2021
Bachelor’s Thesis. This work analyzes the voters of the Nazi party (NSDAP) during the five elections held between 1928 and 1933, using the model-based boosting approach provided by the R package mboost. [German]
Published in Ludwig-Maximilians-Universität München, 2025
Master’s Thesis. This study evaluates the three modelling approaches Cumulative Odds Model, XGBoost and LSTM to forecast the global geomagnetic index Hp30 up to 9 hours ahead, using a direct forecasing approach, provided by the forecastML R package.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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