Parkinson’s Disease Detection using Machine Learning

Parkinson’s Disease Detection using Machine Learning

Anusha M N, Nithin L,Ranjan C R, Shashidhar J, Yashaswini T P

Dept.of ECE
BGS Institute of Technology
Nagamangala, India

Abstract— The early identification of neurodegenerative issues, especially Parkinson's sickness, presents huge difficulties in clinical practice. his paper gives a top to bottom record of the distinguishing proof of an original Parkinson Identification project that utilizations Support Vector Machines (SVM) in the Google Colab processing climate for order. The drive is a response to the earnest requirement for Parkinson's infection early determination and treatment, a neurological sickness that influences a huge number of individuals overall and has serious wellbeing outcomes. The objective of this venture is to foster a high-level AI model that can accurately identify instances of Parkinson's illness in light of a large number of relevant factors by utilizing a painstakingly chosen dataset that was obtained from Kaggle.

Keywords— Machine learning, Parkinson’s disease, Google Colab, Support Vector Machine (SVM), Python programming language.