The presentation for my capstone project for the Data Science Specialization on Coursera, Jan 2016. It is a Shiny application which predicts text based on user input. See it on https://zaros.shinyapps.io/Capstone_Submission/

This is the Milestone Report for the Data Science Capstone Project on Coursera by JHU & Swiftkey.

My Home Energy Estimator is a personal tool to predict future electricity usage based on weather and personal activity data. This app is produced for Module 9 of the Data Science Specialization track by Johns Hopkins University on Coursera.

This is the project for the Regression Models module in the Data Science Specialisation track in Coursera. In this project we examine a dataset of a collection of cars to examine the relationship between a set of variables and miles per gallon (MPG), for Motor Trend magazine.

This project analyses the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database and identifies the events which cause the greatest human and economic impact from 1950 to end November 2011. The analysis uses pareto charts to show the “vital few” events which cause the most impact. This approach allows the persons responsible for preparing for severe weather events to plan and prioritize their resources in the future.