Build a Recommender System in Python

ofrecido por
Coursera Project Network
En este Proyecto guiado, tú:

Code a collaborative filtering-based recommendation system.

Code a content-based recommendation system.

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 2-hour long project-based course, you will learn how to build a Recommender System in Python. Youtube, Amazon, Google, Netflix…. all of these well-known services are known for their 'magic' algorithms that uncannily predict what videos or movies we would enjoy or what products we might be interested in buying. But how do these recommender systems work? Fortunately, they are simple enough to be understood by the average Python programmer. By the time you've finished "Build a Recommender System in Python", you'll have coded by hand 4 different types of recommender systems that mimic the techniques of Amazon, Netflix, and YouTube. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

Data AnalysisPython ProgrammingMachine LearningRecommender Systems

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introduce Recommender Systems

  2. Describe Differences Between Recommender Types

  3. Write a Simple Recommender in Python

  4. Write a Collaborative-Filtering Recommendation Engine in Python

  5. Write a Content-Based Recommender in Python

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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