Classification project in the course TTT4275 - Estimation, Detection and Classification.
The project consists of classification of the Iris dataset using a linear classifier and the MNIST dataset using a nearest neighbor classifier. All implementation is done in Python.
The project is done by Martin Borge Heir and Eskil Berg Ould-Saada.
Report here: Download PDF.