Comparison of Artificial Neural Networks, Support Vector Machines, k-Nearest Neighbours and Convolutional Neural Networks to solve the classification problem of the EMNIST dataset. The objective is to classify handwritten characters as the 26 letters of the english alphabet.
The project uses the Julia language and the scikit-learn and Flux packages for ML.
Download this dataset and place on the same folder.