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student-feedback

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Students has attended the multiple courses. At the end students provided the feedback on the course, instructor by answer the 30 Question. Given the feedback as a dataset, we have analysed the data using various Clustering Techiques.

  • Updated Jul 17, 2022
  • Jupyter Notebook

A centralized platform designed to collect, manage, and analyze student feedback on courses, instructors, and campus services. This system provides actionable insights for educators and administrators to enhance the educational experience and foster a culture of continuous improvement.

  • Updated Jan 17, 2026
  • PHP

A sentiment analysis project that uses NLP techniques to analyze student course feedback, classify comments as positive, neutral, or negative, and uncover themes that explain student satisfaction beyond numeric survey ratings.

  • Updated Feb 8, 2026
  • Jupyter Notebook

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