Open
Description
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