Parkinson’s Diseases Detection Using Machine Learning

Machine Learning is a category of algorithms that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build models and employ algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. These models can be applied in different areas and trained to match the expectations of management so that accurate steps can be taken to achieve the organization’s target.The object of this research paper is to create a project that can be used to detect Parkinson’s diseases using Machine Learning with Python. Support vector machine(svm), Xgboost Regression, Linear Regression, Logistics Regression model is used in this project.