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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..

4.19 / 5.0
1737 students4 hours 24 minutes

Created by Shan Singh, offered on Udemy

bestcourses score™

Student feedback

4.3/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1737 students which left 8 reviews at an average rating of 4.19, which is below the average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 4 hours 24 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.3/10

This course currently has a bestcourses score of 5.3/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

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 !"


What 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

Requirements

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

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 4 hours 24 minutes
Recommendation system Real World Projects using Python thumbnail

bestcourses score: 5.3/10

There might be better courses available for this topic.