Using the rules of probability, this project provides the logic for a mobile app to help lottery addicts understand the true likelihood of winning the lottery when buying one or many tickets. Additionally the project examines the likelihood of correctly guessing 1 or more numbers correctly.

The aim of this project is to predict a car's market price using its various characteristics, including body style, engine type and horsepower using the mulivariate K-nearest neighbours algorithm.

This is a project to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm.

Linear regression modelling to predict condominium sale prices based on floor area.

This project is part of my dataquest course. The aim of the project is to interrogate the data from the American gameshow ‘Jeopardy’. There are two aims: to see if some categories are statistically more likely to appear more often than others; to see if certain terms in questions are statistically more likely to appear in high value questions. The chi-squared test will be used to answer these questions.

This analysis looks at data from all recorded attacks which took place in Iraq during the years 2000 - 2015

This project is part of my DataQuest course and is one of the projects in the SQL module. This project is about exploring the business data for a music download company.

First practice project in R. Data from https://data.world/data-society/cambridge-crime-data-2009-2016