How to Build A Recommendation Engine In Python
3.5 (34 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,068 students enrolled

How to Build A Recommendation Engine In Python

An easy to understand, hands-on tutorial to building a simple Recommendation Engine with same basic concepts as Netflix
3.5 (34 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,068 students enrolled
Created by John Williams
Last updated 10/2018
English
English [Auto]
Current price: $18.99 Original price: $29.99 Discount: 37% off
7 hours left at this price!
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This course includes
  • 1.5 hours on-demand video
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understand Basic Concepts of a Recommendation Engine
  • Be able to build a simple but functional Recommendation Engine
Course content
Expand 14 lectures 01:30:33
+ Build a Recommendation Engine
14 lectures 01:30:33
Euclidean Distance Method with Python
15:46
Finding Similarity
17:08
Recommendation Function Concept
01:32
Find Commonly Reviewed Items
06:04
Finding Critic Similarity
06:50
Compiling Similarity Scores
05:17
Making Recommendations
12:15
Conclusion
01:09
Quiz 1
7 questions
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