In a collaborative project with bitmedia, we designed various recommendation algorithms to enhance a learning platform's course offerings. Our goal was to support users by providing tailored course suggestions, improving their educational experience. We implemented collaborative filtering, content-based, and hybrid algorithms to ensure personalized and relevant recommendations. This approach helped users discover courses aligned with their interests and needs, boosting engagement and satisfaction. By effectively matching learners with appropriate content, we significantly contributed to the platform's overall success.

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