Olabisi05

Olabisi05

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Courses-Recommendation-system

This is a course recommendation system that generates recommendation based on the study patterns and cognitive level of the students. The features are extracted using huge and raw log files. The web interface is built using the flask framework.

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nb_conda

Conda environment and package access extension from within Jupyter

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couReco

A basic Course Recommendation app project built with Streamlit

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online-course-recommendation-system

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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