
# Summary

Developed an application in `shiny` which accepts a string of words and returns a table of recommendations sorted by probability. The `tidytext` package in R was used for processing, cleaning and analyzing the data, while `ggplot2` was used for visualizations.

# Content

This project was written as a report in Rmarkdown, and can be found [here](https://krozic.github.io/Word-Prediction-Model/)

Word Prediction Model


# Summary

An interactive map showing division population changes based on user chosen dates. The packages `dplyr` and `data.table` in R were used to process and clean the raw population and shape data and the package `shiny` was used to build the application UI. Data was sourced from Statistics Canada.

# Content

This project was written as a report in Rmarkdown, and can be found [here](https://krozic.github.io/statcan_population_data/)

Canada Population Dashboard


# Summary

This project employs the `caret` package in R to build machine learning models that can predict which exercise an individual is performing from wearable sensor data. The data for this project was sourced from UCI Machine Learning Repository

# Content

This project was written as a report in Rmarkdown, and can be found [here](https://krozic.github.io/Human-Activity-Recognition-with-caret/)

Human Activity Prediction Using Machine Learning


# Summary

Storm data spanning from 1950-2011 was acquired from the National Weather Service. This data was processed and analyzed to determine which weather related events were the most costly to human life as well as property and crops.

# Content

This project was written as a report in Rmarkdown, and can be found [here](https://krozic.github.io/Weather-Data-Cleaning-and-Visualization/)

Kyle Rozic

R

All Tags

Word Prediction Model

Canada Population Dashboard

Human Activity Prediction Using Machine Learning

Weather Data Cleaning and Visualization in R