8000 mlchrzan (Michael Chrzan) · GitHub
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mlchrzan/README.md
  • 👋🏽 Hi, I’m @mlchrzan! ("Chrzan is pronounce "chr" like chirp and "zen" like the state of mind)
  • 👀 I’m interested in using machine learning on social science problems to better model the lived complexities of our lives and improve meaningful results to drive positive change. I'm doing this through studying machine learning, deep learning, social networks, measurement, NLP, and causal methods in data science. I believe these are key to better understanding the interconnectedness of how institutions systematically operate and how those opreations can be better leveraged toward equitable outcomes for all.
  • 🌱 I’m currently learning about R and Python for data science. This quarter I'm getting into deep neural networks and causal methods as well as some NLP.
  • 💞️ I’m looking to collaborate on work involving robust education data sets, particually ones that have a unit of analysis at a district, state, or national level.
  • 📫 How to reach me: You can find more info about me and my contact information at my LinkedIn https://www.linkedin.com/in/mlchrzan/

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  1. Deeper-Roots Deeper-Roots Public

    Early-warning machine learning system to predict mass public school closures (≥10% of schools in a district) five years in advance using NCES administrative data (2000–2018). Built to support equit…

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  2. SEM-parental-beliefs-on-academics SEM-parental-beliefs-on-academics Public

    This project attempts to examine the connection between parental background, parental beliefs, and academic outcomes while including something not yet broadly considered in the literature: their be…

  3. Divine-Inspiration-Network-Analysis Divine-Inspiration-Network-Analysis Public

    This study explores the themes of destruction and hope in the Prophets section of the Bible using topic modeling and network analysis. By applying Latent Dirichlet Allocation (LDA), we identify cen…

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