https://github.com/yogeshselvarajan/computational-intelligence-lab
Repository for Computational Intelligence Laboratory exercises in the 7th semester of the UG CSE program at Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu.
https://github.com/yogeshselvarajan/computational-intelligence-lab
artificial-intelligence computational-intelligence data-structures-and-algorithms decision-trees education ensemble-learning knn maze-solver-simulation open-source perceptron-neural-networks python search-algorithms wumpus-world
Last synced: 3 months ago
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Repository for Computational Intelligence Laboratory exercises in the 7th semester of the UG CSE program at Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu.
- Host: GitHub
- URL: https://github.com/yogeshselvarajan/computational-intelligence-lab
- Owner: yogeshselvarajan
- Created: 2023-06-26T20:11:07.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2023-11-02T03:36:36.000Z (over 1 year ago)
- Last Synced: 2025-01-11T16:39:39.253Z (4 months ago)
- Topics: artificial-intelligence, computational-intelligence, data-structures-and-algorithms, decision-trees, education, ensemble-learning, knn, maze-solver-simulation, open-source, perceptron-neural-networks, python, search-algorithms, wumpus-world
- Language: Jupyter Notebook
- Homepage:
- Size: 345 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Computational Intelligence Laboratory Repository
Welcome to the Computational Intelligence Laboratory repository for the 7th semester of the Undergraduate Computer Science and Engineering program at Mepco Schlenk Engineering College, Sivakasi.
This repository hosts implementations and solutions for various exercises related to Computational Intelligence.
## Table of Contents
1. [A-Star Search](#a-star-search)
2. [DFS BFS UCS](#dfs-bfs-ucs)
3. [Ensemble Classifier](#ensemble-classifier)
4. [ID3 Decision Tree](#id3-decision-tree)
5. [KNN](#knn)
6. [Single Layer Perceptron](#single-layer-perceptron)
7. [Wumpus World](#wumpus-world)
8. [Additional Exercises](#additional-exercises)
9. [Contributors](#contributors)
## 1. A-Star Search
- **Last Update:** Updated all Codes (2 minutes ago)
- Directory: [A-Star Search](https://github.com/yogeshselvarajan/Computational-Intelligence-Lab/tree/56390d897df46424d4894732964687ad590e3ba0/Lab%20Excercises/A%20%20Star%20Search)
- Description: Implementation of A-Star Search algorithm.
## 2. DFS BFS UCS
- **Last Update:** Updated all Codes (2 minutes ago)
- Directory: [DFS BFS UCS](https://github.com/yogeshselvarajan/Computational-Intelligence-Lab/tree/56390d897df46424d4894732964687ad590e3ba0/Lab%20Excercises/DFS%20BFS%20UCS)
- Description: Includes implementations of Depth-First Search (DFS), Breadth-First Search (BFS), and Uniform Cost Search (UCS) algorithms.
## 3. Ensemble Classifier
- **Last Update:** Updated all Codes
- Directory: [Ensemble Classifier](./Lab%20Excercises/Ensemble%20Classifier)
- Description: Implementation of an Ensemble Classifier using Decision Trees and Random Forest Classifier.
## 4. ID3 Decision Tree
- **Last Update:** Updated all Codes
- Directory: [ID3 Decision Tree](./Lab%20Excercises/ID3%20Decision%20Tree)
- Description: Implementation of the ID3 Decision Tree algorithm.
## 5. KNN
- **Last Update:** Updated all Codes
- Directory: [KNN](./Lab%20Excercises/KNN)
- Description: Implementation of the K-Nearest Neighbors (KNN) algorithm.
## 6. Single Layer Perceptron
- **Last Update:** Updated all Codes
- Directory: [Single Layer Perceptron](./Lab%20Excercises/Single%20Layer%20Perceptron)
- Description: Implementation of the Single Layer Perceptron for logical gates.
## 7. Wumpus World
- **Last Update:** Updated all Codes
- Directory: [Wumpus World](./Lab%20Excercises/Wumpus%20World)
- Description: Solver for the Wumpus World game.
## 8. Additional Exercises
- Maze Solver using DFS and BFS algorithms.
- Network Routing using UCS algorithm.
## 9. Contributors
- [Yogesh S](https://github.com/yogeshselvarajan) ([email protected])
If you find this repository helpful, please consider giving it a ⭐️ (star)!
Feel free to contribute by submitting pull requests or opening issues for any suggestions or improvements.