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Who Am I?

  • šŸ‘‹ Hi, Iā€™m @speersma.
  • I am a coder that studied criminal justice and computational mathematics in graduate school.
  • I'm interested in working in data analytics, data science, and software development.
  • Projects completed
    • Agent-based model of the theoretical propositions of routine-activities theory
    • Developed python scripts that construct and train an artificial neural network (ANN) using Pytorch. This ANN was used to predict reoffending dyads of domstic violence abusers and victims
    • Developed python scripts that construct and train a cross-validated logistic regression using Sci-Kit Learn.
    • Comparative quantitative analysis of the specificity and sensitivity of a domestic violence risk assessment across several algorithms/predictive models.
  • How to reach me: [email protected]

Mark Speers's Projects

agent-based-model-of-routine-activities-theory icon agent-based-model-of-routine-activities-theory

This repository stores the code for an agent-based model I built for a computational mathematics course at MSU. It is a very simplified version of routien activities theory. I plan to add to it throughout my Ph.D..

excel-challenge icon excel-challenge

Repo containing all files related to the excel challenge assignment for MSU's data analytics bootcamp.

hello-world icon hello-world

This is a test repository. Just figuring stuff out.

pandas-challenge icon pandas-challenge

Analysis of school standardized test data for MSU data analytics boot camp.

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