https://github.com/shahriar-raj/cse_472-machine-learning-sessional
https://github.com/shahriar-raj/cse_472-machine-learning-sessional
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/shahriar-raj/cse_472-machine-learning-sessional
- Owner: shahriar-raj
- Created: 2024-09-03T17:03:33.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-15T05:47:12.000Z (5 months ago)
- Last Synced: 2025-02-04T14:45:49.299Z (4 months ago)
- Language: Jupyter Notebook
- Size: 20.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CSE 472: Machine Learning Sessional
## Course Overview
CSE 472 is a 0.75 credit hour sessional course offered by the Department of Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET). It is designed for Level 4, Term 2 students and serves as a practical complement to the theoretical concepts covered in CSE 471: Machine Learning.
## Repository Structure
This repository contains the following assignments (referred to as "Offlines") completed during the course:
- **Offline 1**: Data Preprocessing for Machine Learning
- **Offline 2**: Logistic Regression and Ensemble Methods
- **Offline 3**: Gaussian Mixture Model with Expectation-Maximization Algorithm
- **Offline 4**: Convolutional Neural Network from Scratch (using only NumPy)
Each assignment is contained within its respective directory, including code, datasets, and reports.
## Getting Started
To explore the assignments:
1. **Clone the repository**:
```bash
git clone https://github.com/shahriar-raj/CSE_472-Machine-Learning-Sessional.git
cd CSE_472-Machine-Learning-Sessional