Detecting Parkinson’s Disease with XGBoost

Detecting Parkinson’s Disease – Python Machine Learning Project

What is Parkinson’s Disease?

Parkinson’s disease is a progressive disorder of the central nervous system affecting movement and inducing tremors and stiffness. It has 5 stages to it and affects more than 1 million individuals every year in India. This is chronic and has no cure yet. It is a neurodegenerative disorder affecting dopamine-producing neurons in the brain.

What is XGBoost?

XGBoost is a new Machine Learning algorithm designed with speed and performance in mind. XGBoost stands for eXtreme Gradient Boosting and is based on decision trees. In this project, we will import the XGBClassifier from the xgboost library; this is an implementation of the scikit-learn API for XGBoost classification. Documentation

Dataset for Python Machine Learning Project

Parkinsons dataset .This dataset has 24 columns and 195 records

Prerequisites

pip install numpy

pip install pandas

pip install sklearn

pip install xgboost