This document provides instructions for two machine learning homework assignments involving time series prediction and classification. For the first assignment, students are asked to use neural networks to predict chaotic time series data from the Mackey-Glass equation, comparing performance of linear and nonlinear models. For the second assignment, students must classify iris flower types from the Iris data set using a neural network with four input nodes, three output nodes, and logistic output units, evaluating performance through cross-validation and testing.