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1. ML_HW3-ML-and-MAP-Estimates ML_HW3-ML-and-MAP-Estimates Public

   Homework 3 for CS 1675. Working with Maximum Likelihood estimate for a Bernoulli Distribution and Maximum a posteriori estimate for a Gaussian Distribution.

   MATLAB

2. ML_HW5-Logistic-BGD-and-NB-classification-and-ROC-analysis ML_HW5-Logistic-BGD-and-NB-classification-and-ROC-analysis Public

   Homework 5 for CS 1675. Working with Batch Gradient Descent and analyzing Naive Bayes results with ROC.

   MATLAB

3. ML_HW6-ANN-and-SVM-and-GA ML_HW6-ANN-and-SVM-and-GA Public

   Homework 6 for CS 1675. Working with Artificail Neural Networks and Support Vector Machines and a bonus activity of applying genetic algorithm concepts to ANNs.

   MATLAB

4. ML_HW9-SCPD-and-K-Means-Clustering ML_HW9-SCPD-and-K-Means-Clustering Public

   Homework 9 for CS 1675. Working Squared Center-Point Distance for K Means Clustering

   MATLAB

5. GREENCap GREENCap Public

   Asynchronous Python SDK for working with REDCap data.

   Python 2

6. HPC-Basics HPC-Basics Public

   Small tutorial on some areas of interest for working on an HPC environment.

   R