Python, Parkinson Disease, Data Science, Exploratory Data Analysis, Data Visualization.
values, emphasizing the significance of these deviations. Features Selection The study employs a combination of hypothesis testing and feature sorting to identify the most crucial traits for detecting Parkinson’s disease (PD). The null hypothesis is tested and recorded in the “reject_results.csv”