Thanks for your interest in contributing! Your work can help many Machine Learning developers get started with new projects. Below, you’ll find a simple guide to help you get started.
This repository has a code of conduct—please follow it in all interactions related to this project.
Have an idea for a Machine Learning project? Here are two ways to contribute:
-
Have a problem or idea in mind?
Create an issue, and it’ll be considered for inclusion in the repository. -
Want to tackle a project?
Browse the existing issues to find a project that interests you. If you have a unique project idea that isn't listed, go ahead and create a new issue!
-
Fork and Clone the Repository
First, fork this repository and clone it to your local machine. -
Organize Your Project Files
- Create a new folder dedicated to your project (e.g.,
Titanic Disaster Prediction). - Include:
- Dataset files
- Notebook file(s) with your code and explanations
- Saved model: Save your model using either Joblib or Pickle.
- Create a new folder dedicated to your project (e.g.,
-
Update the Documentation
Update the Table of Contents in the README.md to include your project. -
Submit a Pull Request
After updating everything in your forked repository, submit a Pull Request (PR) to this project. I’ll review it and, if everything looks good, it’ll be merged!
This contribution guide should help make your process smooth and straightforward. If you have questions, feel free to reach out via the repository's issue section. Happy coding!