Some ai notebooks about Rational agents, Searching, Constraint satisfaction, Board games, Machine learning, Deep learning.
compilation of notebooks
Artificial intelligence: main concepts and definitions - study notebook
Python implementation of most common algorithms in the fields of Artificial Intelligence and Machine Learning, on separate Jupyter Notebooks.
This repository contains solutions to LeetCode Easy level problems, implemented using Python and organized in Jupyter notebooks. The goal is to practice problem-solving and enhance coding skills in a structured way.
a Python and Jupyter Notebook implementation of informed and uninformed Pac-Man path-planning algorithms, including BFS, DFS, IDS, A*, Weighted A*, and heuristic comparison. Developed as the First Assignment for the Artificial Intelligence course at the University of Tehran.
Artificial Intelligence project developed with Python, Jupyter Notebook, python-constraint, and Depth-First Search (DFS), featuring constraint satisfaction modelling, staff allocation problem-solving, rule-based role assignment, backtracking search, and GenAI comparison for the L8_CA_2_AI module at CCT College Dublin.
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