Classification algorithms that are based on vector spaces are not always the ideal option to take into account when it comes to issue sets that are specified over exclusively nominal feature sets. Which of the aforementioned claims do you agree with the most firmly, and which do you strongly disagree with? Which approach would you use if you were applying ML classification on nominal data? Please respond in full to the two inquiries that were stated in the preceding clause.

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Requirement Analysis

A process that determines the user expectations for a software product is called requirement analysis. In software engineering, requirement analysis is known as requirement engineering. It involves communication with end-users and stakeholders to determine whether the system or software requirements are validated, conflicts are solved, and key requirements are documented. The first activity of the Software Development Life Cycle (SDLC) is requirement analysis.