This project consisted in creating a system that would be able to flag unusual actions by players in real datasets.
Category: Data Science
Personalised course recommender
In general, course-recommendation systems retrieve results based on a learner’s query. Hence, they are limited to making recommendations based on
Virtual player optimization
For competitive athletes, training is the most crucial factor towards achieving success. Within the training environment, professional athletes collaborate with
Using explainable AI to explain the results in the recommendation of news content
In today’s world, artificial intelligence (AI) has been well integrated into various industries, not least in the media. News platforms
News sentiment effect on financial market trends
This project investigated the effect of news articles on financial market trends, as compiled in lists such as the Standard
Investigating NBA performance statistics’ capabilities in injury prediction models
This study investigated the feasibility of using NBA (National Basketball Association) performance statistics in injury prediction models, to extract potential
Intelligent dashboard for investors using data science and machine learning
This project set out to offer an informative dashboard to assist potential investors in making better financial decisions. The dashboard
Voting trends within the United Nations
Understanding the way countries voted in past sessions of the United Nations General Assembly could be useful in predicting how
Automatic and enhanced camera composition in Daz Studio 3D
The virtual camera in 3D graphics imitates real-life cameras by serving as a window from which objects within a scene