Chevron Left
返回到 Develop a Movie Recommendation Engine

学生对 EDUCBA 提供的 Develop a Movie Recommendation Engine 的评价和反馈

4.8
星
10 个评分

课程概述

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....

热门审阅

CH

Jul 22, 2025

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

SS

Aug 8, 2025

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

筛选依据：

1 - Develop a Movie Recommendation Engine 的 10 个评论（共 10 个）

创建者 catina h

•

Jul 23, 2025

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

创建者 shantajacob

•

Aug 9, 2025

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

创建者 Indranil V

•

Aug 2, 2025

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

创建者 Vihaan S

•

Jul 19, 2025

Smart, efficient engine delivering spot-on movie suggestions.

创建者 Tushar C

•

Aug 13, 2025

Hands-on project to build smart movie recommendation engine.

创建者 Mitul S

•

Aug 6, 2025

Smart, fast, personalized movie picks—highly recommended!

创建者 Rajiv M

•

Jul 26, 2025

Suggests movies based on user preferences and behavior.

创建者 Himmat K

•

Jul 30, 2025

Builds a solid foundation for recommendation systems.

创建者 Shreyas R

•

Aug 15, 2025

Practical project building accurate, efficient movie recommendation engine.

创建者 Preeti N

•

Aug 20, 2025

Built smart movie recommendations using data-driven ML techniques.