Recommendation system Real World Projects using Python

Real World Projects on recommendation systems with data science, machine learning and AI techniques..

Instructor

Shan Singh

Category

Data Science

Development

61 Students enrolled

Description
Curriculum
FAQ
Reviews

Believe it or not, almost all online platforms today uses recommender systems in some way or another.

So What does “recommender systems” stand for and why are they so useful?

Let’s look at the top 3 websites on the Internet : Google, YouTube, and Netfix

Google: Search results

Thats why Google is the most successful technology company today.

YouTube: Video dashboard

I’m sure I’m not the only one who’s accidentally spent hours on YouTube when I had more important things to do! Just how do they convince you to do that?

That’s right this is all on account of Recommender systems!

Netflix: So powerful in terms of recommending right movies to users according to the behaviour of users !

Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them.

This course gives you a thorough understanding of the Recommendation systems.

In this course, we will cover :

Use cases of recommender systems.
Average weighted Technique Recommender System
Popularity-based Recommender System
Hybrid Model based on Average weighted & Popularity
Collaborative filtering.
Content based filtering
and much, much more!

Not only this, you will also work on two very exciting projects.

Instructor Support – Quick Instructor Support for any query within 2-3 hours

All the resources used in this course will be shared with you via Google Drive Link

How to make most from the course ?

Check out the lecture “Utilize This Golden Oppurtunity , QnA Section !”

------------------- Project 1 : TMDB use-case ----------------------

Build a Recommendation System using Average Weighted

6

Datasets & Resources

Text lesson

Build a recommendation system using Popularity Score

Build a recommendation system using Weighted average and Popularity score

11

Lets Implement Popularity based Recommender System..

Video lesson

Build a recommendation system using Content based filtering

Build a more Advance recommendation system using Content based filtering

------------------- Project 2 : Movie_lens use-case --------------------

Build a Recommender System using Co-rrelation

25

intro

Text lesson

Build a Recommender System using KNN-based Collaborative filtering..

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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