Implement Feature Engineering Tutorial

rajveer43 commented 8 months ago

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 commented 7 months ago

Hi, please assign this to me

rajveer43 commented 7 months ago

Hi, please assign this to me

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

AquarlisPrime commented 6 months ago

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

rajveer43 commented 6 months ago

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 commented 6 months ago

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>

rajveer43 commented 6 months ago

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

AquarlisPrime commented 6 months ago

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>

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