Welcome to this 1-hour project-based course on Building Similarity Based Recommendation System. In this project, you will learn how similarity based collaborative filtering recommendation systems work, how you can collect data for building such systems. You will learn what are some different ways you to compute similarity between users and recommend items based on products interacted by other similar users. You will learn to create user item interactions matrix from the original dataset and also how to recommend items to a new user who does not have any historical interactions with the items.
Building Similarity Based Recommendation System
Taught in English
Instructor: Bhaskarjit Sarmah
2,008 already enrolled
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Guided Project
(35 reviews)
What you'll learn
Understand what is collaborative filtering and how to collect data to build a recommendation system
Understand how to create user item interactions matrix to find which users are most similar to the other users
Build a similarity based recommendation system based on collaborative filtering
Skills you'll practice
Details to know
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Guided Project
(35 reviews)
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understanding collaborative filtering and dataset
Exploring the dataset
Creating user item interactions matrix
Finding similar users
Creating similarity based recommendation system
Conclusion
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Dec 4, 2020
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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