Identification of Neurological diseases requires efficient analysis of multiple parameters that include clinical readings, electroencephalogram (EEG) signals, Computer Tomography (CT) scans, etc. To perform these tasks, researchers have proposed use of different machine learning models that can perform feature extraction, augmentation, selection, classification & post processing operations