CS5691: Pattern Recognition & Machine Learning, IIT Madras.

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

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
A1 - SVD & Regression		A1 - SVD & Regression
A2 - K-Means & Gaussian Mixture Models		A2 - K-Means & Gaussian Mixture Models
A3 - Hidden Markov Models		A3 - Hidden Markov Models
Speaker Diarization		Speaker Diarization
README.md		README.md

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