Sebastian Geschonke
  • Bio
  • Papers
  • Talks
  • Experience & Education
  • Teaching
  • Recent & Upcoming Talks
    • "How to solve the tariff-growth paradox?" @ Glasgow
    • "Prepping for war? How Germany profited from the European arms race before World War I" @ Berlin
    • "How to solve the tariff-growth paradox?" @ University of Cambridge
    • "How to solve the tariff-growth paradox?" @ WU Institute for Economic and Social History
    • "How to solve the tariff-growth paradox?" @ Humboldt-Unversity Berlin, Institute for Accounting and Auditing
  • Publications
    • How to solve the tariff-growth paradox? Do higher tariffs relate to higher growth in the first globalization?
    • When you visualize does it materialize? On the effects of (data) visualizations in research
    • New microdata on firm insolvencies in Germany: The insol database (in German)
  • Projects
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    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
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  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Advanced International Trade: Theory and Empirics (Humboldt-Universität zu Berlin)
    • Seminars in Economics, Economic Policy, and Political Economy

scikit-learn

Oct 26, 2023 · 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Sebastian Geschonke
Authors
Sebastian Geschonke
PhD Student in Economics

← PyTorch Oct 26, 2023

© 2025 Sebastian Geschonke. This work is licensed under CC BY NC ND 4.0
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