ML-Lab-Course

Repository containing materials, assignments, and projects for the Machine Learning course at North East University Bangladesh.

Course Information

• Course: Machine Learning Laboratory
• University: North East University Bangladesh
• Department: Computer Science and Engineering (CSE)
• Advisor: Muthmainna Mou, Lecturer, CSE Department

Repository Structure

• Assignments: Weekly/bi-weekly assignments related to ML concepts
• Projects: Implementation of machine learning algorithms and models
• Notes: Lecture notes and additional study materials
• Resources: Reference materials, datasets, and helpful links
• Code Examples: Sample implementations of various ML algorithms

Tools and Technologies

This repository primarily uses:

• Python
• Jupyter Notebooks
• Common ML libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, etc.)

Getting Started

Prerequisites

• Python 3.x
• Jupyter Notebook/Lab
• Required Python packages (see requirements.txt)

Setup

1. Clone this repository
2. Set up a virtual environment (recommended)
3. Install dependencies: pip install -r requirements.txt

Course Progress

This repository will be updated regularly throughout the course duration with new materials and assignments.

License

This repository is for educational purposes. All rights belong to their respective owners.

Contact

For any queries related to this repository:

• GitHub: hrithikD9