CorySuzuki1729
Graduate Student of Applied Statistics at CSULB. Passionate about data science, numerical methods, machine learning, and computation theory.
Pinned Repositories
CorySuzuki1729
Config files for my GitHub profile.
Diabetes-NLP-Project
A final project for the fulfillment of PHIT requirements co-authored with Gerry Cruz, Estefany Rodriguez, and Lakely Nealis. The project included data cleaning, text parsing, and employing machine learning algorithms in performing sentiment analysis and natural language processing on diabetes social media posts from Twitter, Facebook, and Reddit.
Math498-Honors-Thesis-UG
My undergraduate thesis was written in LaTeX using Overleaf. The title is Applications of Cubic Spline Interpolation in Normed Spaces guided under Dr. Kathryn McCormick. WARNING: This thesis is protected under U.S. copyright law and I have sole ownership of this publication. Any plagiarism will be persecuted under the law.
Math_531T_Final-Project
A group final project co-authored with Elijah Amirianfar, Nathaniel Rice, and Henry Surjono based on ARCH/GARCH implementation onto time series data of energy usages of appliances in a typical Belgian household. Implementation focused in R and we also introduce neural network autoregression NNAR forecasting for future predictions.
Math_531T_Time_Series
A Time Series Analysis and Forecasting Course taken at California State University, Fullerton taught under Dr. Valerie Poynor. Topics include AR(p), MA(q), ARMA(p,q), ARIMA(p,d,q), SARIMA(p,d,q)(P,D,Q)[s], and Dynamic Linear Models (DLM's).
Stat-530-Final-Project
A project cowritten with my fellow colleague Sonny Luong on the statistical analysis of self-collected hiking data. We employed Excel and hand-calculations via formulas by using the Latin Squares with Replications model.
STAT-572-Computational-Statistics
This repository showcases my Matlab code files from my computational statistics class taught under Dr. Sung Kim at CSULB. Topics include generating random samples, Numerical Methods for MLE's, Kernel Density Estimation, Bootstrapping, Jacknife resampling, Monte Carlo simulation, and Markov Chain Monte Carlo methods.
STAT_510_Mental_Health
A Statistical analysis of mental health data pulled from Kaggle using a multiple linear regression model and a Poisson regression model to predict the amount of hours an individual will listen to music for mental health treatment.
CorySuzuki1729's Repositories
CorySuzuki1729/STAT_510_Mental_Health
A Statistical analysis of mental health data pulled from Kaggle using a multiple linear regression model and a Poisson regression model to predict the amount of hours an individual will listen to music for mental health treatment.
CorySuzuki1729/CorySuzuki1729
Config files for my GitHub profile.
CorySuzuki1729/Diabetes-NLP-Project
A final project for the fulfillment of PHIT requirements co-authored with Gerry Cruz, Estefany Rodriguez, and Lakely Nealis. The project included data cleaning, text parsing, and employing machine learning algorithms in performing sentiment analysis and natural language processing on diabetes social media posts from Twitter, Facebook, and Reddit.
CorySuzuki1729/Math498-Honors-Thesis-UG
My undergraduate thesis was written in LaTeX using Overleaf. The title is Applications of Cubic Spline Interpolation in Normed Spaces guided under Dr. Kathryn McCormick. WARNING: This thesis is protected under U.S. copyright law and I have sole ownership of this publication. Any plagiarism will be persecuted under the law.
CorySuzuki1729/Math_531T_Final-Project
A group final project co-authored with Elijah Amirianfar, Nathaniel Rice, and Henry Surjono based on ARCH/GARCH implementation onto time series data of energy usages of appliances in a typical Belgian household. Implementation focused in R and we also introduce neural network autoregression NNAR forecasting for future predictions.
CorySuzuki1729/Math_531T_Time_Series
A Time Series Analysis and Forecasting Course taken at California State University, Fullerton taught under Dr. Valerie Poynor. Topics include AR(p), MA(q), ARMA(p,q), ARIMA(p,d,q), SARIMA(p,d,q)(P,D,Q)[s], and Dynamic Linear Models (DLM's).
CorySuzuki1729/Stat-530-Final-Project
A project cowritten with my fellow colleague Sonny Luong on the statistical analysis of self-collected hiking data. We employed Excel and hand-calculations via formulas by using the Latin Squares with Replications model.
CorySuzuki1729/STAT-572-Computational-Statistics
This repository showcases my Matlab code files from my computational statistics class taught under Dr. Sung Kim at CSULB. Topics include generating random samples, Numerical Methods for MLE's, Kernel Density Estimation, Bootstrapping, Jacknife resampling, Monte Carlo simulation, and Markov Chain Monte Carlo methods.