teaching
teaching
Dr. Richard M. Crowley — Sun 18 August 2024

ML for Social Science, Fall 2024

Resources
Outline:Book office hours:

Class files
i1 Session 1: Workflow and ML regression Interactive slides Print slides (pdf)
    R code Python code (View online)
i2 Session 2: Classification Interactive slides Print slides (pdf)
    R code Python code (View online)
i3 Session 3: Ensembling and Clustering Interactive slides Print slides (pdf)
    Example R code for clustering Python code (View online)
i4 Session 4: Causal and non-causal ML Interactive slides Print slides (pdf)
    Python code (View online)  
i5 Session 5: Bias and Fairness Interactive slides Print slides (pdf)
    Python code (View online) Example R code for SHAP
i6 Session 6: Text Analytics Interactive slides Print slides (pdf)
    Python code (View online) Example R code for text analytics
i7 Session 7: Linguistics Interactive slides Print slides (pdf)
    Example R code for text analytics Python code (View online)
    Implementing word2vec in Colab  
i8 Session 8: Topic modeling Interactive slides Print slides (pdf)
    Python code for LDA (View online) R code for STM and ETM (View online). This also includes code to build a word2vec model in R.