Artificial Intelligence Laboratory - Spring 2024

Hey, folks!

This repository contains my assignments and lab work for CSE 3842: Artificial Intelligence Laboratory, completed during the Spring 2024 semester at United International University (UIU). The projects in this repository explore fundamental AI concepts through Python-based implementations of popular algorithms.

Table of Contents

• AI-Lab Assignments

  • ASSG 1 - Sec-C__Spring24

    • 011221437.py
    • README.md

  • ASSG 2 - Sec-C_Hill-Climbing

    • Q1.py
    • Q2.py
    • README.md

  • ASSG 3 - Sec-C_KNN

    • File
    • README.md
    • Tashin.py

  • ASSG 4 - Kmeans Algorithm

    • README.md
    • tashin.py

• LAB Online

  • .gitignore
  • README.md

Assignment Descriptions

• Assignment 1: Basic AI Algorithms

  • Implemented foundational AI concepts, including search and basic decision-making algorithms.
  • Code and Details

• Assignment 2: Hill Climbing Algorithm

  • Explored local search algorithms, specifically the Hill Climbing algorithm, to solve optimization problems.
  • Code and Details

• Assignment 3: k-Nearest Neighbors (k-NN) Algorithm

  • Implemented the k-NN algorithm for classification tasks, with a focus on accuracy and efficiency.
  • Code and Details

• Assignment 4: K-means Clustering Algorithm

  • Developed a Python-based K-means clustering model to group similar data points for unsupervised learning tasks.
  • Code and Details

Online Lab Work

• Lab Online: This folder includes additional exercises and practical work done remotely as part of the AI lab curriculum.

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