This is the final presentation for the JHU Coursera Data Science Capstone project. The final product is a text prediction app that predicts the next word, given some input text, using the stupid backoff algorithm.

This is the Week 2 milestone report for the Data Science Capstone project from the JHU Data Science Specialization.

In this project, I created a simple Shiny app to visualize global happiness ranking scores for 2018 and 2019, as well as the scores of the components used to calculate the happiness scores.

In this assignment, I created an interactive plot using the plotly package in R, showing the distribution of earthquakes over time in the vicinity of the February 2023 earthquakes in Turkey and Syria.

This is the final result (interactive webpage using leaflet in R) from the week 2 assignment for Coursera's Developing Data Products course.

This is the final report for the Coursera Practical Machine Learning course project.

The final report for the Coursera Regression Models course project.

The ToothGrowth data from the R dataset package is analyzed and hypothesis tests are conducted to determine the effects of dosage amount and supplement type on amount of tooth growth.

The exponential distribution is investigated in R and compared to the Central Limit Theorem.

Exploring the NOAA Storm Database.