Projects
A list of my most prominent machine learning and data science projects. Full codes are all open-source on GitHub!
THESIS
Two Novel Efficient Algorithms for Parameterized Magnetohydrodynamic Flow Ensemble Simulation
FORECASTING RESIDENTIAL PROPERTY VALUES
Utilizing Linear Regression and Random Forest Regression using over 80 categorical and numerical features.
COVID-19 SENTIMENT ANALYSIS
Utilizing Naïve Bayes Classifier to determine overarching sentiment within twitter posts.
PREDICTING ENERGY PRODUCTION
Utilizing Polynomial Regression to predict energy production within Combined Cycle Power Plants
CLASSIFYING IRIS
Utilizing Fuzzy C Means, K-Nearest Neighbors (KNN), and Polynomial Regression