Coursu is a simple, fully featured and highly recommended online learning platform that recommends courses either free/paid according to the users interest and helps him/her to find the most suitable course. It deploys machine learning recommendation system to get the users the news feed like they would want to learn. A person can enjoy all the salient features like : 1.Intelligent course recommendation. 2.Keep users learning track. 3.Personalized learning feed. 4.Level up by learning. No user time waste in search of course.

Designing : This includes all the files related to the website developed by us. We have used Firebase as an backend and MDBootstrap as an frontend tool for this deployment. The authentication is performed by Firebase version 6.3.1

Recommendation System: This includes all the Machine learning recommendation system files. We made it possible using counter vectorizer and cosine similarity method.

Web Scrapping : This includes all the dataset we generated by scrapping multiple online learning platforms. We used beautiful soup. For the demo purpose w have scrapped successfully from Udacity, Udemy, Coursera and Pluralsight. We wrangled over all datasets and cleaned each to merge it to a master dataset called complete_course_data.csv.

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