All Practice Codes for Machine Learning and Computational Data Analysis
List of programs
[1a] - Clustering (k-means) [MATLAB]
[1b] - Clustering (k-means) [Python]
[2a] - Spectral Clustering [MATLAB]
[2b] - Spectral Clustering [Python]
[3 ] - Dimension Reduction (PCA and ISOMAP) [MATLAB]
[4a] - Density Estimation & GMM [MATLAB]
[4b] - Density Estimation & GMM [Python]
[5 ] - Feature Selection [MATLAB]
[6 ] - Naive Bayesian & KNN [MATLAB]
[7 ] - Support Vector Machines (SVM) [MATLAB]
Assignments:
[1] - Clustering: k means and k-medoids -- employing for Image Compression
[2] - Text Clustering using EM algorithm
[3] - Recommender Systems: Regression and Ridge Regression on Netflix data
[4] - Hidden Markov Model (HMM)