Machine Learning Lab

Exploring meachine learning techniques and algorithms. Including clustering algorithms and, more.

Contents

• Clustering Algorithms: Clustering the ORL dataset using DBSCAN, K-Means, Agglomerative (Single Link, Complete Link, Group Average) and evaluating the results using rand index implemented from scratch.

• Perceptron and Kernel Methods: Running perceptron on the airline satisfaction dataset and experimenting with kernel methods using an implementation of kernelized perceptron from scratch and kernel approximation.