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Building a Single-Layer Image Classifier
Year: 2024 | Institution: Carnegie Mellon University
Topic: Machine Learning
Description: This project involves building and training a single-hidden-layer neural network to classify handwritten letters from an image dataset using a custom implementation of backpropagation.
View DetailsLogistic Regression - Sentiment Analysis of Restaurant Reviews
Year: 2024 | Institution: Carnegie Mellon University
Topic: Machine Learning
Description: This project involves implementing a binary logistic regression model to classify restaurant reviews as positive or negative using word embeddings for feature extraction.
View DetailsBuilding a Decision Tree Classifier
Year: 2024 | Institution: Carnegie Mellon University
Topic: Machine Learning
Description: This project involves building a binary decision tree classifier from scratch and applying it to various binary classification tasks.
View DetailsBuilding a Majority Vote Classifier
Year: 2024 | Institution: Carnegie Mellon University
Topic: Machine Learning
Description: This project involves implementing a Majority Vote Classifier to predict binary labels for datasets and measure the classifier’s error rates.
View DetailsPredicting Retail Horizons with Python: A Time-Series Analysis of Walmart Sales
Year: 2024 | Institution: Queen Mary University
Topic: Data Science
Description: The project was my undergraduate final year thesis, and it explored various time-series forecasting models applied to Walmart sales data to improve retail sales predictions.
View DetailsImplementing and Training a CIFAR-10 Image Classifier
Year: 2024 | Institution: Queen Mary University
Topic: Deep Learning
Description: This project implements and trains a deep learning model for classifying images from the CIFAR-10 dataset, focusing on achieving high accuracy.
View DetailsProduct Development for a Tesla eVTOL
Year: 2024 | Institution: Queen Mary University
Topic: Product Development
Description: This project focuses on the development and market research of a Tesla-branded electric vertical take-off and landing (eVTOL) vehicle for urban air mobility.
View DetailsEthnographic Study and User-Centered Interactive System Design for Educational Technology
Year: 2024 | Institution: Queen Mary University
Topic: User Experience
Description: This project focused on an ethnographic study investigating the interactions between students, faculty, and educational technologies, followed by designing a speculative interactive system to enhance the learning experience.
View DetailsDesign and Cognitive Analysis of an Interactive Learning Wall
Year: 2024 | Institution: Queen Mary University
Topic: User Experience
Description: This project involved designing a multimodal interactive learning system and analyzing it through Distributed Cognition and Activity Theory frameworks.
View DetailsDeveloping a Single-Page Online Newspaper Web-Application
Year: 2023 | Institution: Queen Mary University
Topic: Web Development
Description: This project involved building a dynamic and interactive online newspaper web app using Django for the backend and Vue.js for the front end.
View DetailsData Mining Project on Wine Dataset and Country Income Analysis
Year: 2023 | Institution: Queen Mary University
Topic: Data Science
Description: This project focuses on data mining tasks using the Wine dataset and the Country Income dataset, including PCA analysis and data preprocessing techniques.
View DetailsData Mining Techniques for Outlier Detection and Association Rule Analysis
Year: 2023 | Institution: Queen Mary University
Topic: Data Science
Description: This project involves implementing data mining techniques to analyze association rules, detect outliers, and perform clustering on text data using machine learning methods.
View DetailsNYC Taxi Data Analysis Using Apache Spark
Year: 2023 | Institution: Queen Mary University
Topic: Data Science
Description: This project involved processing and analyzing large-scale NYC taxi data using Apache Spark to identify trends and patterns.
View DetailsDevelopment of QMUL Issues and Feedback System
Year: 2023 | Institution: Queen Mary University
Topic: Software Engineering
Description: This project focuses on developing a web-based system that allows QMUL students to apply for ECs, report issues, and track their tickets.
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