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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.

Diese Übung ist Teil des Kurses

Building Recommendation Engines in Python

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In dieser interaktiven Übung kannst du die Theorie in die Praxis umsetzen.

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