Detection of Degree of Parkinsonism via the Spiral Test

A comprehensive machine learning-based web app for predicting multiple diseases from medical data.

Multiple Disease Prediction System

Detection of Parkinson’s Disease Using Vocal Features: An Eigen Approach 🤖🧠

In this project, I have created a Machine Learning model using XGBClassifier to Detect Parkinsons Disease with eXtreme Gradient Boosting (XGBoost).

Parkinson's Disease Detection Using Speech recordings based on Signal Processing and Machine Learning - MATLAB-

Parkinson's disease detection based on voice signals using ML model.

Analyzing the provided Parkinson's Disease voice sample dataset.

A machine learning project which predicts the healthcare based on given certain features.

A Parkinson's Disease clinical decision support system (cdss) based on the Parkinson's Progression Markers Initiative (PPMI) data.

All projects of Internship

Parkinson Disease Detection using Machine Learning (SVM) + ML Model

A powerful web application that leverages machine learning to predict multiple diseases from medical data.

The Parkinson's Disease Detection project utilizes the Oxford Parkinson's Disease dataset with 197 instances and 23 real-valued attributes. Conducting classification tasks, the project employs machine learning models to discriminate between healthy individuals and those with Parkinson's disease.

Hands-on projects showing how machine learning can identify iris species and detect Parkinson’s disease. Includes visualizations, model comparisons, and clear explanations of results.