GitHub repository: Abhivesh-Shukla/Predicting_Illnesses_through_Ensemble_Voting_Classifier_Machine-Learning
Primary language: Jupyter Notebook
Description: This repository implements a machine learning-based disease prediction system using the GitHub Collaborative Disease-Symptom Dataset. It employs models like Random Forest and K-Nearest Neighbors, leveraging confusion matrices for performance evaluation. Key technologies include Python, scikit-learn, pandas, NumPy, Matplotlib, and seaborn.