Hands-On Recommendation Systems with Python
Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that.
Offered by
Difficulty Level
Intermediate
Completion Time
4h52m
Language
English
About Book
Who Is This Book For?
If you are a Python developer and want to develop applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques will be helpful, but not mandatory.
Hands-On Recommendation Systems with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
7 chapters • 4h52m total length
Getting Started with Recommender Systems
Manipulating Data with the Pandas Library
Building an IMDB Top 250 Clone with Pandas
Building Content-Based Recommenders
Getting Started with Data Mining Techniques
Building Collaborative Filters
Hybrid Recommenders
Related Resources
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