How to Build A Recommendation Engine In Python

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How to Build A Recommendation Engine In Python provided by Udemy is a comprehensive online course, which lasts for 1-2 hours worth of material. How to Build A Recommendation Engine In Python is taught by John Williams. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

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

    What you'll learn:

    • Understand Basic Concepts of a Recommendation Engine
    • Be able to build a simple but functional Recommendation Engine

    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!