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https://github.com/rayyan9477/multiple-disease-prediction-system
This repository contains a Multiple Disease Prediction System leveraging machine learning techniques for accurate predictions. It utilizes Python, Pandas, Scikit-learn, and Flask for data preprocessing, model building, and web deployment. Explore the project and connect on LinkedIn for collaborations.
https://github.com/rayyan9477/multiple-disease-prediction-system
data-analysis data-science machine-learning python streamlit
Last synced: 4 days ago
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This repository contains a Multiple Disease Prediction System leveraging machine learning techniques for accurate predictions. It utilizes Python, Pandas, Scikit-learn, and Flask for data preprocessing, model building, and web deployment. Explore the project and connect on LinkedIn for collaborations.
- Host: GitHub
- URL: https://github.com/rayyan9477/multiple-disease-prediction-system
- Owner: Rayyan9477
- License: mit
- Created: 2024-08-05T19:06:02.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-21T18:18:27.000Z (3 months ago)
- Last Synced: 2024-08-21T20:39:18.030Z (3 months ago)
- Topics: data-analysis, data-science, machine-learning, python, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 165 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Multiple Disease Prediction System
## Description
The Multiple Disease Prediction System is an advanced machine learning project designed to predict the likelihood of various diseases based on medical parameters. This system aims to assist healthcare providers in identifying potential health risks in their patients. It employs multiple machine learning algorithms and data preprocessing techniques to achieve high accuracy in disease prediction.
## Project Structure
```plaintext
multiple-disease-prediction-system/
│
├── data/
│ ├── dataset.csv
│
├── models/
│ ├── decision_tree_model.pkl
│ ├── random_forest_model.pkl
│ ├── logistic_regression_model.pkl
│
├── static/
│ ├── css/
│ ├── js/
│
├── templates/
│ ├── index.html
│
├── app.py
├── requirements.txt
├── README.md
└── .gitignore
```
## Dependencies
Install the required dependencies using the following command:
```sh
pip install -r requirements.txt
```
The [`requirements.txt`](command:_github.copilot.openRelativePath?%5B%7B%22scheme%22%3A%22file%22%2C%22authority%22%3A%22%22%2C%22path%22%3A%22%2Fr%3A%2FThe-Grand-Complete-Data-Science-Materials-main%2FML%20Projects%2FMultiple_Disease_Prediction%2Frequirements.txt%22%2C%22query%22%3A%22%22%2C%22fragment%22%3A%22%22%7D%5D "r:\The-Grand-Complete-Data-Science-Materials-main\ML Projects\Multiple_Disease_Prediction\requirements.txt") file should include the following packages:
```txt
numpy
pandas
scikit-learn
matplotlib
seaborn
flask
```
## How to Run the Project
1. Clone the repository:
```sh
git clone https://github.com/yourusername/multiple-disease-prediction-system.git
cd multiple-disease-prediction-system
```
2. Install the dependencies:
```sh
pip install -r requirements.txt
```
3. Run the application:
```sh
streamlit run Multiple_Disease_Pred.py
```
4. Open your web browser and navigate to `http://localhost:5000` to access the application.
## Contact
For any questions or feedback, please contact me at [email protected]
Connect with me on [LinkedIn](https://www.linkedin.com/in/rayyan-ahmed9477/).