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Title Building recommendation systems with Python / Eric Rodríguez
Published Birmingham, England : PACKT Publishing, 2019

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Description 1 online resource (96 minutes)
Summary 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 GitHub
Notes Title from resource description page (viewed April 13, 2020)
Performer Presenter, Eric Rodriguez
Notes In English
Subject Recommender systems (Information filtering)
Python (Computer program language)
Data mining.
Data mining.
Python (Computer program language)
Recommender systems (Information filtering)
Genre/Form Instructional films.
Instructional films.
Films de formation.
Form Streaming video
Author Rodríguez, Eric (Programmer), author, speaker
Packt Publishing, production company.