lab-works-trishhaach

This repository contains all the lab works for the course "Artificial Intelligence and Neural Networks" (AINN).

Each lab is organized into separate folders and includes its own README.md file with detailed instructions and information.

Labs

• Lab 1: Familiarization with Prolog (Logic Programming)
• Lab 2: Building and Consulting the Knowledge Base (KB) in Prolog
• Lab 3: Solving the Water Jug Problem in Prolog
• Lab 4: Solving the Tower of Hanoi Problem in Prolog
• Lab 5: Familiarization with programming in python
• Lab 6: Linear Regression in Python
• Lab 7: Classification using decision trees (IDT) algorithm
• Lab 8: Gender Classification using OpenCV and Pre-trained Deep Learning Model

Feel free to explore each lab's folder for more information on its objectives and procedures.