Recommendation system Real World Projects using Python

Recommendation system Real World Projects using Python udemy course free download

Learn how to solve problems in the real world.
Take a look at collaborative filtering.
Learn how to use Correlation to recommend movies that are similar or books that are similar.
Take a look at a content-based recommendation system.
Learn how to use different techniques, like the Average Weighted Model, the Hybrid Model, and so on.
Learn about the different types of Recommender Systems that are out there.

Believe it or not, almost all of the websites and apps you use today use some kind of recommender system in some way or another.

A recommendation system is a system that tells you what to buy and how to buy it.

Our first stop is to look at Google, YouTube, and Netflix.

Google: The results of a search on their site

The reason Google is the best technology company today is that it has a lot of good ideas.

A video dashboard is called YouTube, and it is on the site.

How do they make you do that?

That’s right, Recommender systems are to blame for this.

Users’ behaviour can help Netflix choose which movies to show them. Netflix is very good at this.

Recommender systems try to figure out what people like and then show them products that might be interesting to them.

There is a lot to learn about the Recommendation systems in this class.

You’ll also work on two very exciting projects.

This group of people is called “data scientists.”
People who work with data.
An engineer in machine learning.
Anyone who wants to get more in-depth into data science should take this course.
College students and professionals who want to learn how to do things on their own