A next-word prediction algorithm was built using sentences/text drawn from Twitter, news, and blog data.

This report aims to use statistical methods to understand whether 'smiling' in your campaign poster impacts the number of votes a politician receives.

Data-Product project for Coursera data science specialisation

This project attempts to model the 'Class' variable from the http://web.archive.org/web/ 20161224072740/http:/ groupware.les.inf.puc-rio.br/har website. The analysis and subsequent report covers the methods and different models used to clean and analyse the data as well as build the models, interpret their performance and decision to choose the final model to deploy

Simulation project where a hypothetical mean is provided and a simulation is run to compare how similar they are. The experiment involves comparing both graphical and numerical cases of both theorized and sample statistics, lending evidence to support the Central Limit Theorem