# References

Bundled resources for feature-engineering-toolkit skill

- [ ] feature_engineering_best_practices.md: A comprehensive guide to feature engineering techniques, including encoding methods, scaling methods, and feature selection algorithms.
- [ ] scikit_learn_api_reference.md: A subset of the scikit-learn API documentation relevant to feature engineering tasks, providing details on the functions and classes used in the skill.
- [ ] feature_store_api_documentation.md: Documentation for interacting with popular feature stores, enabling Claude to retrieve and store features effectively.
- [ ] error_handling_guide.md: Detailed guide on handling common errors during feature engineering, including data type mismatches, missing values, and outliers.
