awesome-python-for-data-science

awesome-python-for-data-science copied to clipboard

Description

create a comprehensive tutorial on feature engineering to help both new and experienced team members understand and apply this crucial aspect of our data science work.

Tasks

• [ ] Prepare an outline for the feature engineering tutorial, covering essential concepts and techniques.
• [ ] Write a detailed introduction explaining the importance of feature engineering in our projects.
• [ ] Provide clear examples of feature engineering methods used in our current project(s).
• [ ] Include code snippets, demonstrations, and real-world use cases to illustrate the concepts.
• [ ] Add references to external resources or research papers for further reading.
• [ ] Include interactive code notebooks (e.g., Jupyter notebooks) that users can experiment with.
• [ ] Add visuals, such as diagrams or charts, to aid in understanding.
• [ ] Ensure the tutorial is well-structured, easy to follow, and suitable for both beginners and advanced team members.

Acceptance criteria

• Submit a Jupyter notebook containing the tutorial and the necessary datasets if need
• Modify the README.md file to include the new tutorial and a link to the added notebook

Hi, please assign this to me

Hi, please assign this to me

You can work on it. whenever you are ready with the implementation Just raise a PR

hi, i too would like to have a chance to work on this task

hi, i too would like to have a chance to work on this task

@AquarlisPrime feel free to work on this.

@eniayejudaniel you still want to work on this?

Yes, surely. I am quite excited to work on this project.

On Wed, Dec 20, 2023, 7:29 PM Rockerz @.***> wrote:

hi, i too would like to have a chance to work on this task

@AquarlisPrime https://github.com/AquarlisPrime feel free to work on this.

@eniayejudaniel https://github.com/eniayejudaniel you still want to work on this?

— Reply to this email directly, view it on GitHub https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science/issues/31#issuecomment-1864523629, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQ3LJONWCC2CXW33EJ3NMGTYKLVNXAVCNFSM6AAAAAA6ZPH47CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNRUGUZDGNRSHE . You are receiving this because you were mentioned.Message ID: <Data-Centric-AI-Community/awesome-python-for-data-science/issues/31/1864523629 @github.com>

@AquarlisPrime when you have a implementation just raise a PR.

Surely will do that :)

On Wed, Dec 20, 2023, 7:40 PM Rockerz @.***> wrote:

@AquarlisPrime https://github.com/AquarlisPrime when you have a implementation just raise a PR.

— Reply to this email directly, view it on GitHub https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science/issues/31#issuecomment-1864539447, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQ3LJOKWK2XHZ77EFO3NVB3YKLWVDAVCNFSM6AAAAAA6ZPH47CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNRUGUZTSNBUG4 . You are receiving this because you were mentioned.Message ID: <Data-Centric-AI-Community/awesome-python-for-data-science/issues/31/1864539447 @github.com>