Twine

Data Mining - Academic Educational Presentation

Mehdi Benchikh
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I developed high-fidelity instructional materials for a university-level Data Mining course, designed to facilitate complex technical learning. Rather than a simple summary, this deck serves as comprehensive courseware. I prioritized pedagogical flow, creating visual explanations for technical tasks like cleaning, integration, clustering, and classification. This project demonstrates my ability to build structured, “ready-to-teach” educational content that transforms dense algorithmic theory into an engaging and intuitive student experience.