Name: Recommendation Engine - Basics
Brand: EDUCBA
Availability: OnlineOnly
Rating: 4.8 (16 reviews)

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学生对 EDUCBA 提供的 Recommendation Engine - Basics 的评价和反馈

4.8

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16 个评分

课程概述

This hands-on course guides learners through the complete lifecycle of building a movie recommendation system using Python. Beginning with a conceptual overview of recommendation engines and collaborative filtering techniques, learners will identify real-world applications and articulate how these systems drive personalization across platforms. The course progresses through environment setup using Anaconda and dataset preparation, ensuring participants can organize, configure, and manipulate data efficiently. Using the Surprise library, learners will construct machine learning models, validate performance using cross-validation techniques (including RMSE and MAE), and interpret prediction accuracy. Learners will write Python functions to generate personalized movie predictions, gaining practical experience in model evaluation, prediction logic, and iterable handling using tools like islice. By the end of the course, learners will be able to analyze datasets, implement algorithms, and deploy predictive features in a streamlined and reproducible manner. Through interactive coding and progressive exercises, learners will apply, analyze, and create recommendation solutions applicable in real-world data science workflows....

1 - Recommendation Engine - Basics 的 16 个评论（共 16 个）

创建者 Rahul V

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Jul 24, 2025

Simple, clear intro to recommendation systems with foundational concepts and basic algorithms.

创建者 Rohan V

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Jul 21, 2025

Solid overview of recommendation systems with clear, beginner-friendly explanations.

创建者 Priyansh S

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Jul 17, 2025

Simple, clear intro to recommendation systems; great for data science beginners.

创建者 Eshan G

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Aug 10, 2025

Solid introduction to fundamentals of recommendation engine systems.

创建者 elizebethirvin

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Aug 7, 2025

Good starting point for understanding recommendation system basics.

创建者 Neerav P

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Jul 31, 2025

Simple, clear intro to recommendation systems; great for beginners.

创建者 Divyansh N

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Aug 4, 2025

Solid overview of recommendation engine concepts and techniques.

创建者 Dipti M

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Jul 27, 2025

Clear intro to recommendations; practical and easy to follow.

创建者 latoshajamison

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Aug 11, 2025

Great starter guide to basic recommendation engine concepts.

创建者 Anil G

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Jul 28, 2025

Good intro to recommendation algorithms and core techniques.

创建者 Anna M

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Aug 2, 2025

Great primer on fundamental recommendation engine concepts.

创建者 michael b

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Jul 20, 2025

Good introduction to recommendation engine fundamentals.

创建者 jonniejorgensen

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Aug 21, 2025

A concise and clear introduction to how recommendation engines work. Covers key concepts like collaborative filtering, content-based filtering, and hybrid approaches. Great for beginners seeking a quick overview without deep technical detail.