Built a Parkinson's Disease Detection tool using SVM
Dataset Source : https://www.kaggle.com/nidaguler/parkinsons-data-set
Support Vector Machines (SVMs) are a set of supervised learning methods used for classification, regression, and outlier detection. Advantages of support vector machines: Effective for high-dimensional spaces. It is still valid if the number of measurements is greater than the number of samples.