Machine-Learns

Link to the Website --- Click here 👈
"Note" : because of free hosting service and heavy model hosted on Heroku, the website may take quite some time to open

A platform where you learn and visualize the working of different concepts and algorithms of Machine Learning and Deep Learning. Right from basic concepts like linear regression to advanced concepts like VAE, Generative models, etc.

It is an Interactive website where you can understand and play around with Machine Learning Concepts.

You will also find Blogs on different ML & AI Concepts.

Preview

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Getting Started

To run this project locally, follow these steps:

Prerequisites

• Python 3.x
• Django
• Virtualenv (optional but recommended)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Machine-Learns.git
   cd Machine-Learns   ```
   

2. Create a virtual environment (optional):

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

3. Install the required packages:

   pip install -r requirements.txt   ```
   

4. Apply migrations:

   python manage.py migrate   ```
   

5. Run the server:

   python manage.py runserver   ```
   

6. Access the application:

   Open your web browser and go to http://localhost:8000.

Notes

• Ensure you have the necessary data files in the images directory as specified in the apps.py file.
• If you encounter any issues with missing models, ensure they are placed in the Api/Models directory.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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