How to Build A Recommendation Engine In Python
How to Build A Recommendation Engine In Python
Duration: 1h 31m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 873 MB
Genre: eLearning | Language: English
Duration: 1h 31m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 873 MB
Genre: eLearning | Language: English
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
Requirements
No need to learn complex machine learning theory
Basic Middle School Math
Basic Understanding of Python
Description
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 this course is for:
Beginners interested in learning basic machine learning concepts
Python beginners looking for interesting projects
More Info