amit25bhalerao / artificial-intelligence-and-machine-learning-laboratory

Artificial Intelligence and Machine Learning Laboratory Programs

Artificial Intelligence and Machine Learning Laboratory Programs

Welcome to the Artificial Intelligence and Machine Learning Laboratory Programs repository. This repository contains a collection of programs developed for the Artificial Intelligence and Machine Learning Laboratory course. These programs aim to provide practical implementation and understanding of various algorithms and concepts in artificial intelligence and machine learning.

Table of Contents

1. Program 1: A* Search Algorithm
2. Program 2: AO* Search Algorithm
3. Program 3: Candidate Elimination Algorithm
4. Program 4: Iterative Dichotomiser 3 Algorithm
5. Program 5: Back Propagation Algorithm
6. Program 6: Naïve Bayesian Classifier
7. Program 7: K-Means Algorithm Vs. EM Algorithm
8. Program 8: K-Nearest Neighbour Algorithm
9. Program 9: Locally Weighted Regression Algorithm

Program	Title of Program	Programming Solution
Prog. 1	A* Search Algorithm	LAB1
Prog. 2	AO* Search Algorithm	LAB2
Prog. 3	Candidate Elimination Algorithm	LAB3 DATASET
Prog. 4	Iterative Dichotomiser 3 Algorithm	LAB4 DATASET
Prog. 5	Back Propogation Algorithm	LAB5
Prog. 6	Naïve Bayesian Classifier	LAB6 DATASET
Prog. 7	K-Means Algorithm Vs. EM Algorithm	LAB7
Prog. 8	K-Nearest Neighbour Algorithm	LAB8
Porg. 9	Locally Weighted Regression Algorithm	LAB9 DATASET

Usage

Each program in this repository is accessible through the provided links. The programming solutions are implemented in languages like Python or Java, depending on the specific program. Additionally, some programs involve the use of datasets, which are also provided in the repository.

To use the programs, navigate to the desired program's directory and access the corresponding source code and dataset, if applicable. The programs may require specific libraries or frameworks to run successfully. Make sure to install the necessary dependencies and follow any instructions mentioned in the program's documentation.

Contribution

Contributions to this repository are encouraged. If you have any improvements, bug fixes, or additional programs related to artificial intelligence and machine learning, feel free to create a pull request. Ensure that your contributions align with the repository's guidelines and maintain coding standards.

License and Disclaimer

The programs in this repository are provided under the MIT License. However, please note that while the programs have been tested, they are provided as-is, without any warranty. The repository owner and contributors will not be liable for any damages or losses arising from the use of these programs.

It is recommended to use these programs for learning purposes and to verify their functionality in a controlled environment before applying them to production or real-world applications. Additionally, ensure that you comply with any licenses or restrictions associated with the datasets used in the programs.

Please be mindful of ethical considerations and adhere to proper usage and legal requirements when applying these algorithms and concepts in real-world scenarios.