Pinned Repositories
2048-Game
My implementation of the game 2048 for my CIS 120 Final Project
AutoMLPipe-MC
Repository that extends the AutoMLPipe-BC machine learning pipeline by implementing multiclass ML algorithms rather than algorithms meant for binary classification. The algorithms implemented are all those in AutoMLPipe-BC itself except Logistic Regression, Gradient Boosting, and LightGBM. Specifically, these algorithms are: Naive Bayes GaussianNB (naive_bayes.GaussianNB); Decision Tree (tree.DecisionTreeClassifier); Random Forest (ensemble_methods.RandomForestClassifier); Support Vector Machine (svm.LinearSVC); Artificial Neural Network (neural_network.MLPClassifier); k-Nearest Neighbors (neighbors.KNeighborsClassifier); XGB (XGBoost); eLCS; XCS; and ExSTraCS. The function StatsJobMC.py also newly generates normalized confusion matrices as a metric for pipeline evaluation, as well as statistical significance tests comparing ML algorithms based on their performance on the input dataset.
cis471-work
This repository contains the superscalar, out-of-order processor I collaborated on and developed in the course CIS 471 during Spring 2022.
Double-Pendulum-Simulator-App
This repository contains my final project from the course ENGR 105 (Introduction to Scientific Computing), which I took in Fall 2020. The project was a GUI built using MATLAB App Designer that would simulate the chaotic motion of a double pendulum after a user would manually change specific parameters (namely, starting angle, bob masses, and string lengths.)
ese6500-final-project
My code and results from my ESE 6500 Final Project (Comparative Analysis of TD3 and SAC Algorithms in Continuous Control Environments) in Spring 2024
SNP-Data-Analysis-Project
A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)
Unsupervised-Learning-Algorithm-Implementation
A repository containing my implementation of k-Means clustering, an unsupervised learning ML algorithm - repo also includes sample dataset and screenshots of algorithm successfully clustering data
githealth
Repo for team GitHealth
rdattafl's Repositories
rdattafl/SNP-Data-Analysis-Project
A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)
rdattafl/AutoMLPipe-MC
Repository that extends the AutoMLPipe-BC machine learning pipeline by implementing multiclass ML algorithms rather than algorithms meant for binary classification. The algorithms implemented are all those in AutoMLPipe-BC itself except Logistic Regression, Gradient Boosting, and LightGBM. Specifically, these algorithms are: Naive Bayes GaussianNB (naive_bayes.GaussianNB); Decision Tree (tree.DecisionTreeClassifier); Random Forest (ensemble_methods.RandomForestClassifier); Support Vector Machine (svm.LinearSVC); Artificial Neural Network (neural_network.MLPClassifier); k-Nearest Neighbors (neighbors.KNeighborsClassifier); XGB (XGBoost); eLCS; XCS; and ExSTraCS. The function StatsJobMC.py also newly generates normalized confusion matrices as a metric for pipeline evaluation, as well as statistical significance tests comparing ML algorithms based on their performance on the input dataset.
rdattafl/cis471-work
This repository contains the superscalar, out-of-order processor I collaborated on and developed in the course CIS 471 during Spring 2022.
rdattafl/ese6500-final-project
My code and results from my ESE 6500 Final Project (Comparative Analysis of TD3 and SAC Algorithms in Continuous Control Environments) in Spring 2024
rdattafl/2048-Game
My implementation of the game 2048 for my CIS 120 Final Project
rdattafl/Double-Pendulum-Simulator-App
This repository contains my final project from the course ENGR 105 (Introduction to Scientific Computing), which I took in Fall 2020. The project was a GUI built using MATLAB App Designer that would simulate the chaotic motion of a double pendulum after a user would manually change specific parameters (namely, starting angle, bob masses, and string lengths.)
rdattafl/Unsupervised-Learning-Algorithm-Implementation
A repository containing my implementation of k-Means clustering, an unsupervised learning ML algorithm - repo also includes sample dataset and screenshots of algorithm successfully clustering data