Welcome to the GitHub repository for the Machine Learning course conducted by Dr. Malek at Shahid Beheshti University. This repository contains my homeworks to assist students in their learning journey.
This machine learning course covers a comprehensive range of topics, including but not limited to:
- Introduction to Machine Learning: Basics, terminology, and key concepts.
- Supervised Learning: Regression, classification, and ensemble methods.
- Unsupervised Learning: Clustering, dimensionality reduction, and generative models.
- Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transfer learning.
- Evaluation and Metrics: Model assessment, validation, and performance metrics.
Check each directory for information on course assignments and project details.
Best of luck with your Machine Learning journey!