Diabetes Prediction

This repository contains a project for predicting diabetes using machine learning algorithms. The goal is to build a predictive model that can help in early diagnosis and treatment planning for diabetes patients.

Table of Contents

• Objective
• Installation and Setup
• Technologies and Versions
• Project Structure
• Forking the Repository
• Usage
• Contributing
• License

Objective

The primary objective of this project is to develop a machine learning model that can accurately predict whether a person has diabetes based on specific medical attributes. The project aims to:

• Utilize various machine learning algorithms for prediction.
• Compare the performance of different models.
• Provide a user-friendly interface for predictions.

Installation and Setup

To set up this project locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/UznetDev/Diabetes-Prediction.git
   cd Diabetes-Prediction

2. Create and Activate a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies:

   pip install -r requirements.txt

4. Run the Application:

   python app.py

Technologies and Versions

• Python: 3.8
• Plotly: 5.23.0 (for visualization)
• Pandas: 1.1.3 (for data manipulation)
• Scikit-learn: 0.23.2 (for machine learning algorithms)

Refer to the documentation for each of these technologies for more details:

• Python Documentation
• Pandas Documentation
• Plotly Documentation\
• Scikit-learn Documentation

Project Structure

The project structure is organized as follows:

Diabetes-Prediction/
├── app.py               # Main application file
├── requirements.txt     # Dependencies list
├── loader.py            # load data
├── function.py          # Function base

Forking the Repository

If you wish to contribute to this project, you can fork the repository and create a pull request with your changes. Here are the steps to fork the repository:

1. Go to the repository page.

2. Click the "Fork" button at the top right of the page.

3. Clone your forked repository:

   git clone https://github.com/your-username/Diabetes-Prediction.git

4. Create a new branch for your changes:

   git checkout -b feature-branch

5. Make your changes and commit them:

   git commit -m "Description of your changes"

6. Push your changes to your forked repository:

   git push origin feature-branch

7. Create a pull request from your forked repository to the original repository.

Usage

Once the application is up and running, you can use it to make predictions by entering the required medical attributes through the web interface.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes.
4. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or suggestions, please contact:

• Email: uznetdev@example.com
• GitHub Issues: Issues section
• GitHub Profile: UznetDev
• Telegram: UZNet_Dev
• Linkedin: Abdurahmon Niyozaliev

Thank you for your interest in the project!