Weekly Handouts
2
K-Nearest Neighbors
Applied AI for Political Scientists
Preface
R Bootcamp
“Installing R and RStudio”
“Four Ways to Run R Code”
“Objects, Vectors, and Data Frames”
“Projects, Paths, and Reproducible Habits”
“Reading Data into R”
Weekly Handouts
1
Prediction, Causation, and the Vocabulary of AI
2
K-Nearest Neighbors
3
Tree Models: Random Forest
4
Text as Data
5
Large Language Models
6
Evaluating AI Systems
7
Final Project
References
Weekly Handouts
2
K-Nearest Neighbors
2
K-Nearest Neighbors
In preparation.
1
Prediction, Causation, and the Vocabulary of AI
3
Tree Models: Random Forest