Disease Prediction Model

This project focuses on building a machine learning model to predict diseases based on symptoms. The project uses a cleaned dataset with no null values, and all features are binary (0's and 1's).

We implement three classifiers:

1. Support Vector Classifier (SVC)
2. Gaussian Naive Bayes Classifier
3. Random Forest Classifier

Getting Started

Prerequisites

Python 3.x

Libraries:

numpy
pandas
matplotlib
seaborn
scikit-learn

Make Python virtual environment by running

python -m venv venv
venv/scripts/activate

Install the libraries by running:

pip install numpy pandas matplotlib seaborn scikit-learn