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.

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restaurant_data_2

restaurant_data_1

Neither restaurant_data_1 nor restaurant_data_2.

Both restaurant_data_1 and restaurant_data_2.

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Identifying the correct data for recommendation engines

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