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Recommendation system Real World Projects using Python

Real World Projects on recommendation systems with data science, machine learning and AI techniques..
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1,743 students
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Platform: Udemy
Video: 4h 24m
Language: English
Next start: On Demand

Table of contents


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 !”

You will learn

✓ Learn How to tackle Real world Problems..
✓ Learn Collaborative based filtering
✓ Learn how to use Correlation for Recommending similar Movies or similar books
✓ Learn Content based recommendation system
✓ Learn how to use different Techniques like Average Weighted , Hybrid Model etc..
✓ Learn different types of Recommender Systems


• For earlier sections, just know some basic arithmetic
• Be proficient in Python ..

This course is for

• Data Scientists
• Data Analysts
• Machine learning Engineer
• Anyone who wants to deep dive into data science.
• Students and Professionals who want to gain Hands-on..
Top Rated & Best-Selling Udemy Instructor , Data Scientist
great courses for beginners/working Professionals
If anyone has questions about which course may work best for them, please feel free to contact or message me.
I will teach you the real-world skills necessary to stand out from the crowd. Whether it’s a Data Science , Data Analysis  ,Machine Learning  , Time Series or Natural Language Processing skills and more here.

Query resolution 24*7
One-on-one support from experts that truly want to help you
Query resolution (QnA) – Within 2-3 hours in day time
                                        Hardly it can be 8-10 hours..

learn by doing
Step-by-step tutorials and project-based learning.

more about Shan
Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce,  retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!
Platform: Udemy
Video: 4h 24m
Language: English
Next start: On Demand

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