Identifying the correct data for recommendation engines
Sometimes whether a problem is suited to using a recommendation engine versus using a different statistical model will rely on the data available.
Two datasets, restaurant_data_1
(detailing the sanitation rating a set of restaurants has received from the health inspector) and restaurant_data_2
(containing customers' ratings of restaurants), have already been loaded for you.
Inspect both DataFrames in the console and select which is most applicable to a recommendation problem.
In this exercise and for the rest of the course, pandas
will be loaded by default with the alias pd
.
Cet exercice fait partie du cours
Building Recommendation Engines in Python
Exercice interactif pratique
Passez de la théorie à la pratique avec l’un de nos exercices interactifs
