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EmanuelSommer/README.md

Hello there!

I'm Emanuel—a Mathematician, Data Scientist, and Doctoral Candidate in Stats & ML. I’m passionate about the full data science lifecycle, with core expertise in Statistical Modeling and scalable and reliable (Bayesian) Deep Learning. Code is my tool for bringing concepts, ideas, and visions to life ✨ And beautiful, fast, and reliable code my guilty pleasure 😏

Here, you’ll find a wild mix of repos—from financial forecasting/modeling to Bayesian Deep Learning, fun projects like hackathons, and teaching resources. Feel free to explore, connect, or say hi!

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  1. portvine portvine Public

    Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.

    R 22 4

  2. nasa-hackathon-EmanuelSommer nasa-hackathon-EmanuelSommer Public

    Forked from dsa-munich/nasa-hackathon-winner-EmanuelSommer

    My winning (1st place) submission for the NASA hackathon of the Data Science Association Munich 2021. 🏆🚀

    1

  3. boosting_methods boosting_methods Public

    [xgboost/ tidymodels/ bookdown] Boosting methods for regression: Theory and application in R

    HTML

  4. YesNoDetect YesNoDetect Public

    [Shiny/ Golem/ Tensorflow] Production grade shiny app for the prediction of handwritten ✅ or ❌ boxes using a convolutional neural network.

    R

  5. recommender_workshop recommender_workshop Public

    Intro2Recommenders Mini-Workshop

    Python

  6. DataScience-LMU/osis_python_repro DataScience-LMU/osis_python_repro Public

    Template Python Project for the Advanced Reproducibility Workshop (OSIS)

    Python 5