AI-Code

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🌟 Overview

AI-Code simplifies learning AI technologies with easy-to-follow code and real-world project guides for ML, DL, GAN, NLP, OpenCV, and more.

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🔑 Core Features

• Scratch-level implementations of AI algorithms 🧠
• Guides, datasets, research papers, and step-by-step tutorials 📘
• Clear directories with focused README files 📂
• Fast learning with minimal complexity 🚀

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⚡ Setup the Project

1. Go through the Contributing Guidelines to fork and clone the project.
2. After forking and cloning the project in your local system:
   • Create a virtual environment:

     python -m venv myenv

   • Activate the virtual environment:
     • On Windows:

       myenv\Scripts\activate

     • On macOS/Linux:

       source myenv/bin/activate

   • Install the required Python package:

     pip install mkdocs-material

3. After installing the package, run the following command to start the development server:

   mkdocs serve

4. Open the local server URL (usually http://127.0.0.1:8000) in your browser. You are now ready to work on the project.

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🛠️ Tech Stack

• Python 3.8+
• Markdown
• Git/GitHub
• VS Code

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