#ece548: intro to machine learning
Project 1 involved implementing perceptron learning and investigating
linear vs. polynomial classifiers. See project1/info/task.txt or
project1/info/batch2.pdf. For the PDF, we were group 5.
Project 2 involved experimenting with imbalanced class representations;
techniques used included majority-class undersampling and one-sided Tomek link
selection. See project2/info/batch2.pdf for more details; we were group 10.