https://github.com/B3TA-BLOCKER/CS-351L---AI-Lab-GitHub-Repository
Practical AI and cybersecurity projects using Python, covering key AI techniques like supervised/unsupervised learning, neural networks, and data analysis tools.
https://github.com/B3TA-BLOCKER/CS-351L---AI-Lab-GitHub-Repository
a-star-algorithm ai cybersecurity python search-algorithm
Last synced: 7 months ago
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Practical AI and cybersecurity projects using Python, covering key AI techniques like supervised/unsupervised learning, neural networks, and data analysis tools.
- Host: GitHub
- URL: https://github.com/B3TA-BLOCKER/CS-351L---AI-Lab-GitHub-Repository
- Owner: B3TA-BLOCKER
- Created: 2024-09-04T15:48:22.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-27T10:30:43.000Z (over 1 year ago)
- Last Synced: 2024-12-27T11:26:12.308Z (over 1 year ago)
- Topics: a-star-algorithm, ai, cybersecurity, python, search-algorithm
- Language: Jupyter Notebook
- Homepage:
- Size: 6 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CS 351L - AI Lab
Welcome to the **AI Lab Course (CS 351L)**! In this repository, you will explore various concepts in Artificial Intelligence (AI) through hands-on exercises and projects using Python. The course focuses on practical implementations of AI techniques, algorithms, and tools commonly used in the field of AI and cybersecurity.
## 📚 **Course Overview**
- **Course Code:** CS 351L
- **Program:** BS Cybersecurity
- **Semester:** 5th
## 📋 **Course Outline**
Throughout the course, we will cover the following topics:
1. **Introduction to Python**: Variables, Data Types, and Control Structures
2. **AI Development Environment**: Setting up Google Colab, Introduction to NumPy, Pandas, Matplotlib
3. **Supervised Learning**: Linear Regression, Classification
4. **Unsupervised Learning**: K-Means, Hierarchical Clustering
5. **Neural Networks**: Introduction and Implementation
6. **Evaluation Metrics**: Precision, Recall, F1-Score
7. **Hands-on Projects**: AI techniques applied to real-world cybersecurity problems
8. **Tool Use**: WEKA for data mining and machine learning tasks
## 💡 **How to Contribute**
We encourage contributions to improve the course material. To contribute:
1. Fork the repository.
2. Create a new branch.
3. Make your changes and submit a pull request.
## 📧 **Contact**
For any queries or assistance, feel free to reach out to the course instructor:
**Mr. Usama Arshad**
**GitHub:** [usamajanjua9](https://github.com/usamajanjua9)
## 🙋♂️ **Maintainer**
This repository is maintained by:
**Hassaan Ali Bukhari**
**GitHub:** [b3ta-blocker](https://github.com/b3ta-blocker)
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