Worked on improving documentation quality in the Nixtla/statsforecast repository by addressing terminology inconsistencies related to point predictions across multiple model classes. Focused on aligning the documentation with actual model outputs, the update replaced references to 'mean' with 'fitted' in docstrings, clarifying the intended semantics for users. This change, implemented using Python and Jupyter Notebook, enhanced the accuracy and maintainability of the documentation without altering model behavior or APIs. The work primarily involved typo correction and careful review of existing documentation, reducing potential confusion for users and laying a foundation for clearer release notes and ongoing project maintainability.