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Assignment 1: Least Square Regression, Ridge Regression, Image Compression using Singular Value and Eigen Value Decomposition.
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Assignment 2: Unsupervided Classification - K-Means Clustering and Gaussian Mixture Models (GMMs).
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Assignment 3: Sequence Modelling using Hidden Markov Models (HMMs) - Handwritten data and Spoken digit data.
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Project: Speaker Diarization using K-Means, GMMs and Agglomerative Bottom-up Hierarchical Clustering.
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Team Details: Harshit Kedia (CS17B103) Dev Sheth (CS17B106)
kediaharshit9/pattern-recognition-and-machine-learning
Assignments and Projects, CS5691, IIT Madras
MATLAB