sliao7 / CSE6740_Computational_Data_Analysis

All the course work of supervised and unsupervised algorithms and projects.

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CSE6740_Computational_Data_Analysis

Includes all the homework problems and projects

homework 1: Clustering report

1. Clustering (mathematical analysis and proofs)

2. Image compression using clustering code

3. Political blogs and spectral clustering code

homework 2: Dimension Reduction report

1. Linear Dimension Reduction: PCA on food consumption in European countries code

2. Nonlinear Dimension Reduction: ISOMAP on order of faces code

homework 3: Density Estimation report

1. Kernel Density Estimation on psychological experiments code

2. EM algorithm for MNIST dataset code

homework 4: Classification report

1. Basic Optimization and Logistic Regression

2. Classification code

3. Naive Bayes for spam filtering

homework 5: Support Vector Machine and Neural Network report

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

homework 6: AdaBoost and Decision Tree report

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

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All the course work of supervised and unsupervised algorithms and projects.


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Language:Jupyter Notebook 82.7%Language:TeX 8.4%Language:Python 7.2%Language:MATLAB 1.7%