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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.