Penguin Species Classifier

In this Pattern Recognition course project, I analyzed a non-separable multi-class dataset of penguin species. I implemented two distinct classification approaches: a statistical Mahalanobis distance classifier and a Single Layer Perceptron (SLP) with backpropagation. I compared their performance metrics, including accuracy, precision, and recall, to understand the trade-offs between statistical and neural network-based approaches for this specific dataset.