DBMS-II

Machine Learning, Data Mining, and Database Codes

This repository contains code examples for machine learning, data mining, and database related topics.

Topics

The topics covered in this repository include:

• Serialization
• Naive Bayes Classifier
• Decision Trees
• KD-Tree
• K-Means Clustering
• Random Forest Classifier
• Apriori

Usage

Each topic has its own directory with code examples and explanations. To run any of the code examples, navigate to the directory of the topic you want to learn about and follow the instructions in the README file.

Contributing

If you'd like to contribute to this project, please follow these steps:

1. Fork this repository
2. Create a new branch (git checkout -b new-branch-name)
3. Write your code and tests
4. Commit your changes (git commit -am 'Add some feature')
5. Push to the branch (git push origin new-branch-name)
6. Create a new Pull Request

We welcome contributions of any kind, including bug fixes, improvements to existing code, and new examples of machine learning, data mining, and database related topics.

License

This project is not licensed.

Happy coding!