CSE6740_Computational_Data_Analysis
Includes all the homework problems and projects
1. Clustering (mathematical analysis and proofs)
2. Image compression using clustering code
3. Political blogs and spectral clustering code
1. Linear Dimension Reduction: PCA on food consumption in European countries code
2. Nonlinear Dimension Reduction: ISOMAP on order of faces code
1. Kernel Density Estimation on psychological experiments code
2. EM algorithm for MNIST dataset code
1. Basic Optimization and Logistic Regression
3. Naive Bayes for spam filtering
1. Analysis on Support Vector Machine
2. Multi-class classification with KNN, Logistic Regression, SVM, kernel SVM, and Neural Network code notebook
3. Simple Neural Networks Analysis
1. AdaBoost with decision stumps as weak learners by hand
2. Linear Regression Analysis: bias-variance tradeoff, Cross-Validation, and Feature Selection
3. Random Forest and One-class SVM for email spam classifier code notebook