A brief statistical analysis of FIFA 18 data to determine the strongest contenders for this year's World Cup in Russia. The author looks first at interesting stats on individual players, before diving into a more complex analysis of the strongest national squads.
Application to analyse the sentiment of any Twitter user's input & to carry out a correlation analysis with the price of Bitcoin. The goal is to find users whose actions on Twitter can relatively predict the short-term price of Bitcoin.
Predicting the heart disease using data mining, machine learning and Framingham Heart Study dataset. Multiple demographic, behavioural, medical history and physical risk factors are taken into consideration.
This study uses machine learning to build a POI (Person of Interest) identifier based on financial and email data made public in the aftermath of the Enron scandal of the early noughties. The goal of the project is to identify Enron employees who may have committed fraud (POIs) using a Gaussian Naïve Bayes algorithm.