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Learner Reviews & Feedback for Develop a Movie Recommendation Engine by EDUCBA

4.8
stars
10 ratings

About the Course

This course empowers learners to design, develop, and evaluate movie recommendation systems using real-world data and Python programming. Tailored for data enthusiasts and aspiring machine learning developers, the course introduces the practical applications of recommender systems across modern digital platforms such as Netflix, Amazon, and YouTube. Beginning with foundational concepts, learners will set up their Python environment and build a simple recommender based on popularity metrics. As the course progresses, learners will transition to constructing a more nuanced content-based recommender, utilizing rich metadata such as genres, keywords, and cast to provide personalized recommendations. By completing this course, learners will gain hands-on experience in preprocessing data, engineering features, and applying core machine learning techniques for real-time decision-making. The instruction is aligned with Bloom’s Taxonomy, guiding learners to construct, analyze, and apply recommender models effectively....

Top reviews

CH

Jul 23, 2025

Solid intro to recommendation systems—clear, practical, and beginner-friendly project.

SS

Aug 9, 2025

Great hands-on project for learning recommendation systems with impact.

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1 - 10 of 10 Reviews for Develop a Movie Recommendation Engine

By catina h

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Jul 23, 2025

Solid intro to recommendation systems—clear, practical, and beginner-friendly project.

By shantajacob

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Aug 9, 2025

Great hands-on project for learning recommendation systems with impact.

By Indranil V

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Aug 2, 2025

Hands-on, practical guide to building movie recommendation engine.

By Vihaan S

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Jul 19, 2025

Smart, efficient engine delivering spot-on movie suggestions.

By Tushar C

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Aug 13, 2025

Hands-on project to build smart movie recommendation engine.

By Mitul S

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Aug 6, 2025

Smart, fast, personalized movie picks—highly recommended!

By Rajiv M

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Jul 26, 2025

Suggests movies based on user preferences and behavior.

By Himmat K

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Jul 30, 2025

Builds a solid foundation for recommendation systems.

By Shreyas R

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Aug 16, 2025

Practical project building accurate, efficient movie recommendation engine.

By Preeti N

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Aug 20, 2025

Built smart movie recommendations using data-driven ML techniques.