A repository showcasing projects and assignments from the Postgraduate Artificial Intelligence and Machine Learning program at UT Austin.
This repository showcases a collection of AI and Machine Learning projects completed as part of my coursework at the University of Texas at Austin. Each project here highlights key concepts, practical applications, and advanced techniques in Artificial Intelligence and Machine Learning, reflecting the skills and knowledge gained during the program.
- Project Folders: Each folder corresponds to a specific project or topic covered in the course.
- Documentation: Each project includes detailed documentation and code comments for ease of understanding and reproducibility.
- Data: Sample datasets, where permissible, are provided to illustrate and test the implemented models.
This repository covers a wide range of AI and ML topics, including but not limited to:
- Supervised and Unsupervised Learning
- Neural Networks and Deep Learning
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
While this repository primarily serves as a personal portfolio of my coursework, feedback and suggestions for improvement are always welcome!