Analysis of grade scores of different classes of 5th and 6th graders in both Math and English-Language-Arts, visualising the data using seaborn boxplots. The author also looks at the difference in grade performance between these students and "holdovers" - those students who are repeating the year.
Curtin ANPR is a program for detecting vehicles entering and exiting a parking pay. A camera captures the entry of a vehicle and the exit of the vehicle from a designated parking spot. The entry time and exit time are also recorded. In this study, the author carries out an in-depth analysis of this dataset.
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.
An exploratory analysis of the NBA leage with a single question the goal of this study: are the players who leave early (before their senior year) for the pros better in the NBA than those who stay all four years?
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.
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.
Implementing a simple naive risk parity strategy by proxying the 4 main asset classes used in risk parity strategies. Diversification carried out on this basis applies weights to different asset classes according to the inverse of their volatility.
Math-to-python lovers out there. The author attempts to answer two different mathematical assignments in this post; calaculating the volume of vases and determining the decelaration outcomes of cars travelling at various speeds by breaking.