Parkinson’s Detection Using Machine Learning

Supervisor:

Asst.Prof. JACOB ZACHARIAH

Team Members

ABHISHEK.C 
FASNA.ABDUL.LATHEEF
SAFEEL MUHAMMED
SEJAL.T.P

Description

This is our approach to find out a way to detect Parkinson’s disorder at an
early stage; to provide necessary treatment early using Machine Learning
with Data Science.
Machine Learning algorithms are applied onto patient’s data-set and
accuracies of the algorithms are compared.
The model with the highest accuracy fits the best to predict target.
In this way, integrating Medical Science and Data Science with Machine
Learning, PD could be detected earlier and necessary treatment would
suffice a patient to recover at a good rate values for unknown data values.