Data_Visualizations.ipynb: Uses MNE libraries to create graphs and other visualizations of the dataset.
PrepareDataset.ipynb: Seperates each csv file into testing and training data. It also seperates the EEG data from the imagined phonem.
Creates sub_data_test, sub_events_test, sub_data_train, sub_events_train csv files for each subject.
v1-cnn-eeg.ipynb: Processes data using CNN.
v2-cnn-eeg.ipynb: Preprocesses data using wavelet denoising, then processes it using CNN.