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interpret-ml

This project for Cornell Data Science implements Generalized Linear Models and Generalized Additive Models.

The main slides for the project can be found here.

Our three key datasets are:

  1. twitter_analysis.csv
  2. civil_wars.RData
  3. christian_nationalism.dta

R implementations of Poisson GLM and GAM are in the main directory.

The core notebooks and implementation codes are in Final Notebooks:

  1. gam_impl.jl: Our implementation of GAMs in Julia
  2. glm_impl.jl: Our implementation of GLMs in Julia
  3. glm_theory_and_practice.ipynb: Julia Notebook with mathematics of GLMs, plus dataset analysis
  4. gam_theory_and_practice.ipynb: Julia notebook with mathematics of GAMs, plus dataset analysis
  5. christian_nationalism.ipynb: Codes to create visualizations for Christian Nationalism results

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Interpretable ML project looking into Generalized Linear and Generalized Additive Models

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