Implement Feature Engineering Tutorial

[rajveer43]

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

[eniayejudaniel]

Hi, please assign this to me

[rajveer43]

Hi, please assign this to me

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

[AquarlisPrime]

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

[rajveer43]

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?

[AquarlisPrime]

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 <#31 (comment)>, 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>

[rajveer43]

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

[AquarlisPrime]

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 <#31 (comment)>, 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>