Course Description

Learn to build recommendation engine with Collaborative filtering and popular programming language Python.

Build a strong foundation in Recommendation Systemswith this tutorial for beginners.

• Understanding of recommendation systems

• Leverage Collaborative filtering to classify documents

• User Jupyter Notebook for programming

• Use singular value decomposition (SVD) for recommendation engine

A Powerful Skill at Your FingertipsLearning the fundamentals of recommendation system puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

Jobs in recommendation systems area are plentiful, and being able to learn Collaborative filtering and SVDwill give you a strong edge.

Recommendation Systems ares becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling and cross selling of products. Learning Collaborative filtering with SVDwill help you become a recommendation system developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked Inalready using recommendation systens with item based collaborativein information retrieval and social platforms. They claimed that using recommendation systems has boosted productivity of entire company significantly.

Content and Overview

This course teaches you on how to build recommendation systems using open source Python and Jupyterframework. You will work along with me step by step to build following answers

Introduction to recommendation systems.

Introduction to Collaborative filtering

Build an jupyter notebook step by step using item based collaborative filtering

Build a real world web application to recommend books

What am I going to get from this course?

• Learn recommendations systems and build real world books recommendation engine from professional trainer from your own desk.

• Over 10lecturesteaching you how to build real world recommendation systems

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.

Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.