Learning Similarities you own this product

prerequisites
intermediate Python • basics of NumPy, pandas, scikit-learn, and machine learning
skills learned
read, process, and exploit user-item data • define recommender systems based on similarities • analyze algorithm output
Alejandro Bellogin
1 week · 4-6 hours per week · BEGINNER

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team

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Look inside

In this liveProject, you’ll determine what similarities there are between certain movies, and then build a recommendation system based on the similarities you’ve identified. Although you’ll be working with movie data for a streaming website, identifying similarities can help enhance recommendation engines for any item or product. You’ll develop a general technique for spotting similarities, then apply your learned similarities to build a recommendation engine. You’ll then enrich your model with collaborative and content-based data, and evaluate and compare your model.

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

project author

Alejandro Bellogin
Alejandro Bellogín is an Associate Professor at Universidad Autónoma de Madrid. Previously, he held a post-doctoral research grant with the Centrum Wiskunde and Informatica in Amsterdam, The Netherlands. He has supervised around ten Master Theses, one PhD thesis, and more than twenty Bachelor Theses on recommender systems. His publication history includes around 80 publications about different aspects of recommender systems.

prerequisites

The liveProject is for intermediate Python programmers who know the basics of data science. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Intermediate Python, min. version 3.6.0
  • Basics of data structures
  • Basics of NumPy, min. version 1.19.0
  • Basics of pandas, min. version 1.1.0
  • Basics of scikit-learn, min. version 0.20.3
  • Basics of Jupyter Notebook
TECHNIQUES
  • Algebra and calculus
  • Basics of machine learning

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
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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