Project_Python_Parkinsons_Disease

A guided Machine Learning Classification exercise on the Parkinson's Disease dataset demonstrating the use of Logistic Regression, Neural Network Classifiers, Decision Trees, Random Forests and XGBoost algorithms, as well as Data Preprocessing and Exploratory Data Analysis. Comments inside the .ipynb notebook are in English.