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Oscar Anderson's Projects

boules-resampling icon boules-resampling

An implementation that simulates games of Boules between two players, then uses resampling to test whether the difference between the performance of the two players is statistically significant.

chatgpt-sentiment-analysis icon chatgpt-sentiment-analysis

A sentiment analysis on tweets related to OpenAI's LLM, ChatGPT, using a Multinomial Naive Bayes model, revealing insights into public sentiment and highlighting areas for further fine-tuning/enquiry.

eeg-fringe-p3-analysis icon eeg-fringe-p3-analysis

For my MSc dissertation, and in my role as a research data analyst, I am undertaking an analysis of electroencephalography data to investigate whether detection of the P300 neural signal can be utilised within an EEG Brain-Computer Interface to discern information from the minds of individuals, without the need for explicit communication.

emotion-recognition-cnn icon emotion-recognition-cnn

A Python project implementing a Convolutional Neural Network for identifying emotions from input face images. Built using Keras and trained on the FER-2013 dataset.

fmri-analysis-replication icon fmri-analysis-replication

A readme documenting the steps that I took to replicate an fMRI analysis examining the neural correlates of cognitive and motor control in a Stop-Signal task.

iat-names-and-traits icon iat-names-and-traits

This repository contains the full report for my undergraduate dissertation project, completed as part of my Bachelor of Science (BSc) Psychology degree. The study explores the cross-modal associations between phonemes and personality traits, with a focus on the Bouba-Kiki effect and its potential implications for social perception.

simple-linear-regression icon simple-linear-regression

This basic script uses NumPy and Matplotlib to perform a simple linear regression on randomly generated data, and visualizes the regression line over a scatter plot.

tailored-prompting_gpt3.5-turbo icon tailored-prompting_gpt3.5-turbo

A script that I wrote to experiment working with OpenAI's GPT-3.5 turbo API, in which I prepared prompts to modify my interactions with the model to retrieve safe and relevant information in response.

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