Build a Recommender System in Python faq

learnersLearners:
instructor Instructor: Charles Ivan Niswander II instructor-icon
duration Duration: instructor-icon

This 2-hour long project-based course will teach you how to build a Recommender System in Python. Learn how to code by hand 4 different types of recommender systems that mimic the techniques of Amazon, Netflix, and YouTube. Discover the 'magic' algorithms that these well-known services use to uncannily predict what videos or movies they would enjoy or what products they might be interested in buying. This course is best suited for learners based in the North America region, with plans to expand to other regions. Sign up now and start building your own Recommender System in Python!

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2nd Aug, 2021

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

In this 2-hour long project-based course, learners will learn how to build a Recommender System in Python. Popular services such as Youtube, Amazon, Google, and Netflix are known for their 'magic' algorithms that can accurately predict what videos or movies a user would enjoy or what products they might be interested in buying. This course will teach participants how to code by hand 4 different types of recommender systems that mimic the techniques of Amazon, Netflix, and YouTube. It is best suited for learners based in the North America region, though efforts are being made to provide the same experience in other regions.

Course Provider

Provider Coursera's Stats at OeClass