How to Build A Recommendation Engine In Python

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About This Course

An easy to understand, hands-on tutorial to building a simple Recommendation Engine with same basic concepts as Netflix

Nowadays...Recommendation Engines are everywhere!

Netflix, Amazon and YouTube to name a few.

Then there is the Ultimate Recommendation Engine: Google.

Recommendation Engines help us make choices suited to our personal tastes.

They  give us suggestions for products, movies, books, foods and even romantic partners!

Pretty soon, Recommendation Engines will be essential to selling anything and Big Companies are already looking on new ways to use them and for developers and marketeers who understand them.

This course will give you a fundamental, conceptual understanding of how Recommendation Engines work by walking you through building  a simple toy Recommendation Engine from scratch using simple math and basic python programming skills.

Taking this course is an easy way to prepare for more advance study as concepts are explained in plain language and code is walked through line by line!

The object of this course is for you to walk away with a solid understanding of the fundamentals behind the Collaborative filtering algorithm used by Netflix to recommend movies to users based on the tastes of other similar users.

So join me inside and make your first big steps towards the future!


  • Understand Basic Concepts of a Recommendation Engine

  • Be able to build a simple but functional Recommendation Engine

Instructor

Profile photo of John Williams
John Williams

Hailing from Atlanta, Georgia, John cut his business teeth in the Atlanta independent music scene in his early twenties, acquiring many hard earned lessons. John has walked many paths over the years, from traveling country with platinum recording artists, to selling cds and dvds out of his car, to working on a cattle ranch outside Houston and organic farm in...

Review
4.9 course rating
4K ratings
ui-avatar of Kaitlin Browne
Kaitlin B.
3.0
4 years ago

good code example, instructor could benefit from scripting out the code walk-through more. vid 12-13 could be explained clearer.

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ui-avatar of David Chehebar
David C.
5.0
5 years ago

Great Job explaining the basics of recommendation systems. Clear American English speaker that make the subject approachable.

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ui-avatar of Tejasvini M
Tejasvini M.
1.0
6 years ago

The speaker is really slow at speaking and is lost mid-sentence. Very poor presentation.

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ui-avatar of Nelson Uprety
Nelson U.
2.0
6 years ago

The tutor is preety inexperienced in case of delivering what he wants to say. lecture 13 was the main part but he didnt described that lecture well it was too bad

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ui-avatar of Shalin Bhavsar
Shalin B.
3.0
6 years ago

This course is very intimidating. The content in course is very basic and good for beginners .Instructor looks confused in between the some videos but explains almost everything needed to be taught. Also audio is 7/10 . in short i would recommend this course to every first timers!!
Course 3/5
Instructor 4/5
In Course material 2/5
Need more practical Stuffs!!!

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ui-avatar of Ashish
Ashish
3.5
6 years ago

yes ,it gave me a brief idea on colab filtering

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ui-avatar of B K
B K.
1.0
6 years ago

Long winded and clueless. Learn some basic maths, please!

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ui-avatar of Kumar Harsh
Kumar H.
4.5
6 years ago

I didn't find it hard to understand.

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ui-avatar of SHREYASH OSWAL
Shreyash O.
3.0
6 years ago

The course could have been more fast paced.

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