Google Professional Machine Learning Engineer
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You are an ML engineer at a global car manufacturer tasked with building a machine learning model to predict car sales in various cities worldwide. The goal is to capture the relationship between different car types and the number of sales in each city. What features or feature crosses should be used to effectively train the model and capture these city-specific relationships?
A
Three individual features: binned latitude, binned longitude, and one-hot encoded car type.
B
One feature obtained as an element-wise product between latitude, longitude, and car type.
C
One feature obtained as an element-wise product between binned latitude, binned longitude, and one-hot encoded car type.
D
Two feature crosses as an element-wise product: the first between binned latitude and one-hot encoded car type, and the second between binned longitude and one-hot encoded car type.