How to Build A Recommendation Engine In Python Free Download
4 Likes Comment

How to Build A Recommendation Engine In Python 1

How to Build A Recommendation Engine In Python 2

Download Tutorial How to Build A Recommendation Engine In Python

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!

Who is the target audience?
  • Beginners interested in learning basic machine learning concepts
  • Python beginners looking for interesting projects

Download Tutorials/Courses

Download Link Google Drive Download Link Google Drive 2

 Download Link OneDrive Download Link Mshare

Password : freetuts.download

How to bypass Google Drive download limit for shared files


You might like

About the Author: Ho Quang Dai

I am Ho Quang Dai. Looking forward to receiving positive contributions from readers

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.