👋 Hi there! Thank you for taking the time to contribute! 🙌
This documentation is a set of guidelines to help you contribute to this repository.
📝 We're looking for any type of contributions related to learning Python for Data Science. These can be:
- 🪐 Jupyter notebooks with step-by-step tutorials
- 👩🏽🏫 Recommendations for Tutorials & Courses (curated content only, please)
- 📚 Books
- 😸 Repositories with exercises
- 🏋🏽♀️ Exercises and Challenges in Python for Machine Learning/Data Science
- 🛠 Larger step-by-step Projects
These can include several areas, from machine learning algorithms to data preprocessing, data visualization, exploratory data analysis, and overall, all topics around Data-Centric AI.
We look forward to your contributions! 🎉
- Fork this repository
- Create a new branch for your contributions
- Add your contributions the relevant folders
- Create a pull request with a clear description of your changes
We'll review and merge your contributions!
👉 If you're not sure where to start, you can always check the open Issues and comment on one if you wish to contribute to that task. You can also create new issues to suggest modifications and help others contribute.
🌟 By contributing, you're helping the AI and DS community to learn and grow in a nurturing community 🌱
Find us on Discord to connect to other data enthusiasts and we'll be happy to give you a ✋ with your contributions 💪