Jason Ballantyne's Portfolio

Discovering meaning in big data and finding important regularities through fundamental techniques and areas where text analytics is deployed. [Read More]

This project focuses on data understanding, cleaning and preparation for the Covid-19 pandemic dataset. The data comes from the Centers for Disease Control and Prevention. [Read More]

Creating a python class that implements Gaussian Naive Bayes from scratch, then test the performance and accuracy of my implementation against the GaussianNB implementation in scikit-learn. [Read More]

An analysis and report of crime in Ireland from 2003 to 2019 in R. A report of the key functionality of dplyr and a confidence interval function, complete with methods to print, summarise and plot the function in R. [Read More]

Implementing a Gaussian Naive Bayes function in python that handles missing values, both explicity in the classification algorithm and using imputation methods. [Read More]