Desktop messaging platform, developed and designed completely in Kotlin!

The following portfolio highlights projects completed during my Master of Science in Data Analytics program at Western Governors University.

C867 Scripting and Programming - Applications

Data Mining I expands predictive modeling into nonlinear dimensions, enhancing the capabilities and effectiveness of the data analytics lifecycle. In this course, learners implement supervised models—specifically classification and prediction data mining models—to unearth relationships among variables that are not apparent with more surface-leve…

A mega guide to the tasks and completion of the WGU C968 performance assessment task. This is NOT an actual assignment, but a comprehensive guide provided by program mentors, instructors, and staff on separate accounts and consoldiated into one easy step-by-step guide to completing your PA.

Task 2 Performance Assessment for WGU'S Front End Web Development course (D277). Made via VSCode.

Data Cleaning continues building proficiency in the data analytics life cycle with data preparation skills. This course addresses exploring, transforming, and imputing data as well as handling outliers. Learners write code to manipulate, structure, and clean data as well as to reduce features in data sets. The following courses are prerequisites…

Design Patterns to Streamline Learning Design and Development

Final Project for Software I course at WGU

A VRP with various constraints I wrote for my CS degree

This repository contains the coding projects that I completed for the Masters program in Data Analytics at Western Governors University.

WGU Masters Data Analytics. Exploratory Data Analysis covers statistical principles supporting the data analytics life cycle. Students in this course compute and interpret measures of central tendency, correlations, and variation. The course introduces hypothesis testing, focusing on application for parametric tests, and addresses communication …

Predictive Modeling builds on initial data preparation, cleaning, and analysis, enabling students to make assertions vital to organizational needs. In this course, students conduct logistic regression and multiple regression to model the phenomena revealed by data. The course covers normality, homoscedasticity, and significance, preparing studen…

WGU Capstone Project for B.S. Software Development - React + Redux + NodeJs + MongoDB + Mongoose + ES6 + Typescript + ExpressJS

📊 Goals and Progress

WGU senior capstone project using Python ML libraries to classify product review sentiment.

D277 Task 2