matteocourthoud/Machine-Learning-for-Economic-Analysis
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
This resource offers practical examples and notes for applying machine learning techniques to economic analysis. It takes raw economic data and statistical concepts as input, guiding you through various modeling approaches. The output includes developed machine learning models and interpretations relevant to economic phenomena, designed for economists, econometricians, and quantitative researchers.
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Use this if you are an economist or quantitative researcher who wants to learn how to apply modern machine learning methods to analyze economic datasets and draw meaningful conclusions.
Not ideal if you are looking for a plug-and-play software tool or are not comfortable with the foundational mathematical and statistical concepts of econometrics.
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Jupyter Notebook
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MIT
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Feb 28, 2022
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