Jason Ballantyne's Portfolio

Best Bus

Dublin Bus real time journey planner and arrival time prediction web app

Posted on May 1, 2022

Real Time Journey Planner and Arrival Time Prediction Web App for Dublin Bus. Built using React and Django and uses ML techniques to predict journey times. [Read More]

Tags: data-science pandas numpy seaborn random-forest linear-regression knn logistic-regression decision-tree

A clean and functional web application designed for a user to navigate the Dublin Bikes self-service rental system. The user can find the closest available bike, plan their bike route, obtain weather information, visualise availability graphs as well as a host of additional features. [Read More]

Tags: data-science pandas numpy api flask random-forest sklearn linear-regression amazon-web-services

Covid-19 Predictive Models

Training and evaluating prediction models for the Covid-19 pandemic

Posted on April 10, 2022

This project focuses on training and evaluating prediction models for the Covid-19 pandemic to find a model which best predicted the binary outcome of death. [Read More]

Tags: data-science pandas numpy seaborn scipy sklearn random-forest linear-regression logistic-regression

Big Data Stack

Managing concepts using Bash, SQL/NoSQL, Hadoop, Spark and GraphX

Posted on March 25, 2022

Walking through a complex set of concepts that form the Big Data stack. Setting up Big Data environments, using efficient data management operations and running algorithms to the scale and speed required by Big Data datasets. [Read More]

Tags: data-engineering bash sql spark hadoop nosql graphx big-data

Eurostat Crime Analysis

Manipulating, analysing and creating a creative component to the EurostatCrime2019 dataset using R

Posted on March 3, 2022

Using the EurostatCrime2019.csv for this analysis. This dataset records offences (values per hundred thousand inhabitants) by offence category in 41 European Countries in 2019. [Read More]

Tags: data-science r ggplot2 tidyverse cowplot data-visualization