Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Fi

Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Fi

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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This video tutorial covers the development of an item-based collaborative filtering recommender system using the K nearest neighbours algorithm. It outlines the steps involved, including data preparation, gaining data insights, implementing the algorithm, and building and testing the recommendation engine. The tutorial uses Python and Jupyter Notebook as tools.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the final step in the process of developing the recommender system?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What programming language and software are used for this recommender system project?

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