AI Lab Work

This repository contains my Artificial Intelligence Lab work, organized by lab sessions.
Each lab is placed in its own folder (Lab1, Lab2, Lab3, …) with a clear and consistent structure.

📂 Folder Structure

AI-Lab-Work/

1. Lab1/

• notebooks/ # Jupyter notebooks
• src/ # Python scripts / helper functions
• data/ # Small datasets (if required)
• results/ # Plots, generated outputs, trained models
• docs/ # Reports, instructions, references

2. Lab2/ ...
3. Lab3/ ...

🚀 Getting Started

1. Clone the repository:

   git clone https://github.com/<your-username>/AI-Lab-Work.git
   cd AI-Lab-Work

2. Install dependencies:

   pip install -r requirements.txt

3. Open Jupyter Notebook and run lab files:

   jupyter notebook

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📚 Lab Details

• Lab 1 → Introduction to AI programming and basic experiments.
• Lab 2 → Will be added later.
• Lab 3 → Will be added later.

and Soon....

Each lab folder contains its own files and results.

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🔮 Future Plans

• Add more labs (Lab2, Lab3, …).
• Update requirements.txt when new Python libraries are used (e.g., numpy, pandas, matplotlib, scikit-learn, torch, tensorflow).
• Maintain clear results and documentation for each lab.

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👨‍💻 Author

Muhammad Asif BS Computer Science – AI Lab Work Repository