Contributed a major documentation update to the Qiskit/documentation repository, focusing on improving the tutorial flow for users working with quantum computing concepts. The work involved revising the tutorial template to the latest standards, expanding information about training datasets, and removing serverless infrastructure dependencies to streamline local execution and ongoing maintenance. Using Python and leveraging skills in data visualization and tutorial development, the update clarified dataset scope to balance technical depth with readability. These changes addressed user feedback, closed outstanding issues, and enhanced maintainability, resulting in a more accessible onboarding experience and improved traceability for future documentation and machine learning workflows.