Build a Recommender System in Python faq

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

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Course Feature Course Overview Course Provider Discussion and Reviews
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 AZClass

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faq FAQ for Recommender Systems Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Recommender Systems courses and certifications, our extensive collection at azclass.net will help you.

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