The goal of linear k NN regression is to predict the value of an unseen datum as a linear combination of its k neighbors on a graph, which could be found via certain distance metric. Despite the ...

This project focuses on detecting Parkinson's disease using machine learning models trained on audio features. The study compares the performance of Logistic Regression, Gradient Boosting, Random ...