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amrex_compressible_euler

Adapting AMReX code to apply adaptive mesh refinement to the compressible Euler equations

compressible_euler_slic_muscl_hancock

This project involves solving the compressible Euler equations using both the SLIC and MUSCL-Hancock high-resolution numerical schemes.

computational_chemistry_data_engineering_project

The purpose of this project is to learn more about data engineering (API requests, SQL databases and data preprocessing). Using the data a pytorch convolutional network was then trained.

convolutional-neural-network---covid-imaging---python

Convolutional neural networks were used to predict whether someone has no illness, COVID or pneumonia based on their x-ray lung scans.

digit_recogniser_kaggle

euler_1d_solver

health-insurance-regression---python

Various Regression models including linear, polynomial, ridge, lasso and elastic net were experimented with to find which model best predicted health insurance costs. The models were evaluated using cross-validation, from which the best models were optimized using randomized search. The best model was then evaluated on the test data.

heart-disease-classification---python

Exploratory data analysis was performed on a dataset heart disease dataset, constructing various visualisations, to gain useful insights about the data. Various machine learning algorithms were then trained to classify whether someone has heart disease or not based on various features, scoring each algorithm based on their accuracy and deciding on which algorithm was the best to use for future predictions.

hepatitis-clustering-machine-learn-project---python

The 'hcvdat0' dataset from kaggle was used to create a clustering models (K means and Kmeans++) to predict whether someone had no disease, hepatitis, cirrhosis or fibrosis. Exploratory data analysis was also carried out on the dataset in the form of aggregate statistics and visualisations to draw conclusions about the data.

ilu_foam_library

incomplib

Incompressible CFD Solvers Library

life-expectancy-linear-regression-project---rstudio

The 'life_expectancy' dataset from kaggle was used to construct various aggregate statistics, visualisations and linear regression models to see how life expectancy changed based on different features.

linearsolverslibrary

Linear solver library providing matrix and vector data structures and linear solvers.

molecular-structure-classification---python

In this project various preprocessing and feature engineering techniques were using to build simple and deep learning models to classify a proteins structure based on its properties.

pfr_differential_equation_optimisation---matlab

This project involved the optimisation of temperature to achieve the maximum output concentration of component C, from the competing equations for the production of A, B and C. This involved the construction of differential equations for the change of concentration for each component throughout the reactor, based on each components rate equation (treating the rate constants as variable based on the temperature within the reactor).

simple-based_steady-state_solver

This project involves derivation and implementation of a SIMPLE-based solver for incompressible flow using a simplified pressure projection method. Performance of the solver is to be demonstrated on a 2-D lid-driven cavity simulation case.

sunderlandchatgptazurefunction

An Azure Function that trains ChatGPT to extract sunderland match predictions into a JSON format.

trading_bot

python algorithmic trading platform for alpaca api.

turbulent_simple_steady_state_solver

This project involves the derivation and implementation of a SIMPLE-based solver for turbulent incompressible flow using a simplified pressure projection method and a k-epsilon turbulence model. Performance of the solver is to be demonstrated on a backward-facing step test case.