AIML is a comprehensive repository focused on Artificial Intelligence and Machine Learning (AI/ML) solutions, resources, and code examples. This project is my exploratory journey of projects during AIML Postgraduation course.
- Modular codebase for various AI/ML algorithms
- Example projects and tutorials
- Preprocessing and data handling utilities
- Model evaluation and visualization tools
- Integration with popular libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Sample datasets for quick experimentation
Ensure you have the following installed:
- Python 3.8 or higher
- pip (Python package manager)
AIML/
├── data/ # Sample datasets and data loaders
├── models/ # Implementation of AI/ML models
├── notebooks/ # Jupyter notebooks for tutorials and experiments
├── examples/ # Example scripts and workflows
├── utils/ # Utility scripts (preprocessing, metrics, etc.)
├── requirements.txt # List of required Python packages
├── README.md # Project documentation
└── LICENSE # License information
For questions, suggestions, or collaboration, please open an issue or contact me [email protected].
Happy Learning and Building with AIML!