PARKINSON’S DISEASE DETECTION USING MACHINE LEARNING









Abstract

Machine Learning is a way that helps the systems to automatically learn from experience and improve the performance and predict the outcome more accurately without any requirement of being explicitly programmed. Detection of disease which is more harmful is very important. This paper aims to deal with the detection of parkinson’s disease using Machine Learning. We here use many classification models and try to find out the model which best suits for this disease detection . This disease infects the people who have the age of 55 and above. It is a neurodegenerative central nervous system syndrome.


Modules


Algorithms


Software And Hardware