Multiple Disease Prediction System

A comprehensive machine learning-based web app for predicting 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.

Analyzing the provided Parkinson's Disease voice sample dataset.

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

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

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

All projects of Internship

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

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

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-

Detection of Degree of Parkinsonism via the Spiral Test