This repository contains a collection of projects and assignments completed as part of my coursework in Artificial Intelligence at University of Tehran . The projects cover various topics within the field of AI, including machine learning, neural networks, computer vision, Generative AI, and more.
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Project 1: [Project Title]
- Description: Brief overview of the project(todo).
- Key Concepts: List of AI concepts covered in the project(todo).
- Technologies: Libraries and tools used (e.g., TensorFlow, PyTorch, scikit-learn).(todo)
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Project 2: [Supervised Learning , Unsupervised Learning and Quantum Learning]
- Description: Brief overview of the project.(todo)
- Key Concepts: List of AI concepts covered in the project.(todo)
- Technologies: Libraries and tools used.(todo)
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Project 3: [Reinforcement Learning, Recurrent Nureal Network, Search Algorithms]
- Description: Brief overview of the project.(todo)
- Key Concepts: List of AI concepts covered in the project.(todo)
- Technologies: Libraries and tools used.(todo)
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Assignments:
- Assignment 1: [Researching about optimizers and and handling imbalanced datasets/ In this assignment we research about differnet optimizers and SMOTE technique . Their performances on the given datasets has been evaluated.]
- Assignment 2: [KNN-SVM-GBT-XGBoost/Explanation of these 4 algorithms and using numerical examples for better understanding]
Each project folder contains a README file with detailed instructions on how to run the code, datasets used, and any dependencies required.
Special thanks to my professors especially Dr. Mohammad Khoshnevisan for their support and collaboration.
Feel free to modify this template to better fit your specific projects and prefere