Contributed to the sktime/sktime repository by enhancing the documentation for the FCNClassifier, specifically clarifying the usage of the callbacks parameter to improve user guidance and address a gap identified in issue #9149. Focused on Python and deep learning concepts, the work involved updating the class docstring without altering any code, thereby reducing onboarding friction and minimizing potential for regression. This documentation-focused approach aimed to make the API more accessible and reduce support requests. Additionally, the contribution included outlining a plan for extending similar improvements to regressor documentation, demonstrating attention to comprehensive and maintainable project documentation standards.