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Google Professional Machine Learning Engineer

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?

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