Building Recommendation Systems with Python [Video]

More Information
Learn
  • Build your own recommendation engine with Python to analyze data
  • Use effective text-mining tools to get the best raw data
  • Master collaborative filtering techniques based on user profiles and the item they want
  • Content-based filtering techniques that use user data such as comments and ratings
  • Hybrid filtering technique which combines both collaborative and content-based filtering
  • Utilize pandas and scikit-learn easy-to-use data structures for data analysis
About

Recommendation Engines have become an integral part of any application. For accurate recommendations, you require user information. The more data you feed to your engine, the more output it can generate – for example, a movie recommendation based on its rating, a YouTube video recommendation to a viewer, or recommending a product to a shopper online.

In this practical course, you will be building three powerful real-world recommendation engines using three different filtering techniques. You'll start by creating usable data from your data source and implementing the best data filtering techniques for recommendations. Then you will use machine learning techniques to create your own algorithm, which will predict and recommend accurate data.

By the end of the course, you'll be able to build effective online recommendation engines with machine learning and Python – on your own.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Building-Recommendation-Systems-with-Python

Features
  • Understand how to work with real data using a recommendation in Python
  • Graphical representation of categories or classes to visualize your data
  • Comparison of different recommendation systems and learning to help you choose the right one
Course Length 1 hour 35 minutes
ISBN 9781788991704
Date Of Publication 31 May 2019

Authors

Eric Rodríguez

Eric Rodríguez is a mechatronics engineer with an interest in the areas of machine learning and robotics. His passion for programming began around 5 years ago when he started learning how to build web applications. He moved on to develop Android applications and finally completed his Master's degree in Computer Science. He has also started using C# in Xamarin to develop mobile applications. Eric has years of practical experience in the software development industry as a software engineer.