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Exam 3 will focus on combining newer ML with our other materials.
It will be 75% paper and conceptual questions and 25% a take-home coding exercise. To prepare:
The test will include elements from OLS regression and/or decision trees. Be sure to refresh your memory on the various measurements of model performance, including R-squared, MSE, MAE, and confusion matrices.