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Welcome to the AI Lab Course (CS 351L)! In this lab, 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.

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MYounas126/CS-351L---AI-Lab-Github-Repository-2022456

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CS-351L: AI Lab - GitHub Repository (2022456)

Welcome to the GitHub repository for the Artificial Intelligence Lab (CS 351L). This repository contains all the lab exercises and resources for the course as part of my 5th semester studies in the BS Cyber Security program at Ghulam Ishaq Khan Institute of Engineering Science and Technology (GIKI).

Course Information:

  • Course Code: CS 351L
  • Course Title: Artificial Intelligence Lab
  • Instructor: Mr. Usama Arshad

Repository Structure:

Each folder in this repository corresponds to a specific lab. Inside each folder, you'll find:

  • Lab Manual: Instructions and theoretical explanations for the lab.
  • Lab Tasks: Implementations of AI concepts covered in the lab sessions.

Running the Lab Tasks:

To run the lab tasks, simply:

  1. Download the specific lab folder.
  2. Open Google Colab.
  3. Upload the downloaded lab folder into your Colab environment.
  4. Run the lab tasks as per the instructions provided.

Reference for Lab Resources:

You can find additional resources and reference material in the official course GitHub repository:
CS 351L - AI Lab GitHub Repository.

Feel free to explore, experiment, and contribute!

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Welcome to the AI Lab Course (CS 351L)! In this lab, 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.

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