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Google Professional Data Engineer

Google Professional Data Engineer

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You work for a bank, and part of your responsibility is to manage and optimize the loan approval process. You have a labeled dataset at your disposal which includes detailed information on previously granted loan applications and whether these applications have subsequently defaulted. Your task is to use this dataset to train a predictive model that can estimate the likelihood of default for new credit applicants. What steps should you take to accomplish this task?

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