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amazon-food-review-classification-group-work

This was a group project undertaken as part of Applied Text Analytics course at Heriot-Watt University.

covid-19-data-dashboard

Interactive data dashboard displaying 3 years worth of real-world COVID-19 data and data story discovered using the same.

cs7ds1-group-project

This repository contains code, research, etc, related to our group project undertaken as part of the CS7DS1 Data Analytics module under Trinity College Dublin's Master's in Computer Science programme.

cs7ds3_main_assignment

cs7ds4_assignment4

Data visualization created as part of assignment 4 under Trinnity College Dublin's Data Visualization CS7DS4 module.

cs7is2-artificial-intelligence-assignment1

cs7is2-artificial-intelligence-assignment3

This repository contains development history of Assignment 3 involving solving of games Tic Tac Toe and Connect 4 using variants of the Minimax as well as Q-Learning algorithm. This assignment was undertaken as part of the CS7IS2 Artificial Intelligence module under Trinity College Dublin's MSc. Computer Science program (2023/24).

cs7ns1-project3

This repository shall contain all design and development files related to project 3 implemented as part of the Scalable Computing module under Trinity College Dublin's MSc. Computer Science programme by Group 22.

dissertation-tcd

Stores activity related to my dissertation project for MSc. Computer Science Data Science under Trinity College Dublin.

forest-cover-data-ml-and-data-science-portfolio

This project employs various data analytics methods, visualizations and machine learning algorithms to conduct exploratory data analysis of publically available data regarding forest cover in the US and thereby extract useful insights from it.

memae

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)

memae-1

Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

microworld_dissertation_tcd

This repositoy contains all code files associated with the microworld built as part of my dissertation project undertaken as part of the MSc. Computer Science program at Trinity College Dublin (TCD).

mushers-dream-f20ga-hwu

This is an individual animation project done over a couple of weeks as part of Heriot-Watt University's 3D Graphics and Animation course. Technology Used: Autodesk Maya, Unreal Engine 4, C++, OpenGL.

o2cw

CourseWork

portfolio

tennis-racquet-data-dashboard

Interactive data dashboard displaying "tennis racquet specifications" data and data story discovered using the same.

twitter_sentiment_analysis_group_work

This was a group project undertaken as part of Applied Text Analytics course at Heriot-Watt University.

year-3-group-project