Coding a variety of classification algorithms from scratch, including a convolutional neural network. We also show the results from libraries scikit learn and TensorFlow, with our implementations g…

Implementing a vision transformer on the CIFAR-10 dataset using AWS.

Using the Hamiltonian Monte Carlo algorithm, and a visualisation of how the algorithm works. 'MyMC3' - HMC is the main algorithm used in Bayesian statistical package PyMC3.

Using statistical analysis to provide insights about some experimental data. The experiments investigate how the size of a frog affects its probability of being successfully hunted by a predator. F…

Masters project predicting the outcomes of football matches in the premier league using statistical modelling. The model correctly predicts the outcome of 62% of matches in the 2016/17 season. The …

Using reinforcement learning to find the optimal strategy in Blackjack. We also look at how we can use card counting to improve strategy and make favourable bets. The results showing the optimal st…