Build a Rating Recommendation Engine with Collaborative Filtering

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Course Features

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Duration

80 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

80 minutes

Course Description

Recommendation engines can be a valuable asset for many services we use every day. Recommendation engines are vital in many industries, including entertainment and food delivery. They also enhance the user experience. This course, Build A Rating Recommendation engine with collaborative filtering, will teach you how to create your own recommender system. You'll first be introduced to recommender system, learn about the various types, and get more information on the specific technique you will use in this course, collaborative filtering. Next, you will learn how to create a recommender system with memory-based collaborative filtering. You'll also learn about model-based collaborative filtering, and how to program it using Python. After completing this course, your knowledge and skills will allow you to create your own recommendation system.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

You'll learn all about model-based collaborative filtering and gain the knowledge to code it up using Python

When you're finished with this course, you’ll have the knowledge and skills to build your very own recommendation system

Course Instructors

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Pratheerth Padman

Instructor

Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineeri...
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