Identifying diagnostic features of Parkinson’s disease using classical machine learning.

Neofytos Neokleous


Supervised by Matthias Treder; Moderated by Dr Daniela Tsaneva

This project will be jointly supervised with the University of Stellenbosch, South Africa. They collected a brain imaging dataset involving Parkinson's, PTSD, and schizophrenia patients. The data have been preprocessed and parameters describing the brain structure have been extracted. This is a data science project, that is, you will use Sci-kit learn and statistics in Python to analyse, visualise and interpret the data. Excellent Python skills are vital, prior knowledge of machine learning is highly desirable.

Initial Plan (03/02/2020) [Zip Archive]

Final Report (15/05/2020) [Zip Archive]

Publication Form