1. This document discusses classification algorithms applied to two datasets: IRIS and USPS. 2. For the IRIS dataset, K-nearest neighbors (K-NN) and support vector machines (SVM) are applied using sepal and petal measurements to classify flowers into three species. 3. For the USPS dataset, a 5-nearest neighbors approach is used to classify handwritten digits from 0 to 9. SVM with a radial basis function kernel is also explored for this dataset.