Recommendation System

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This project is part of the liveProject series Recommendation System with Surprise and Fast.ai
prerequisites
basics of Python • basics of pandas • basics of scikit-learn • basics of machine learning • basics of Fast.ai
skills learned
selecting, cleaning and choosing data for collaborative filtering • matrix collaborative filtering techniques using Fast.ai collab_learner class • learning latent factors for collaborative filtering recommenders

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team

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Look inside

In this liveProject, you’ll create a recommendation engine for an online store using the Fast.ai library. You’ll utilize a dot product and a neural network to come up with the latent factors in a rating matrix, and compare and contrast them to determine which is likely to deliver the best recommendations. You’ll need to select and clean your data, pick the right methods, then create the functions that you need to recommend products based on predicted ratings.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

prerequisites

This liveProject is for beginner Python data scientists interested in creating recommendation engines. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basics of Python
  • Basics of Pandas and dataframe filtering and manipulation
  • Basics of scikit-learn
  • Basics of Fast.ai
TECHNIQUES
  • Basics of machine learning

you will learn

In this liveProject, you’ll learn how to put collaborative filtering techniques into action to create recommendation engines, one of the most useful types of machine learning application. You’ll become familiar with the workflow of a professional data scientist.


  • Selecting, cleaning and choosing data for collaborative filtering
  • Matrix collaborative filtering techniques using Fast.ai collab_learner class
  • Learning latent factors for collaborative filtering recommenders

features

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Project roadmap
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Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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