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Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.
Learn how to use the automated machine learning user interface in Azure Machine Learning
Q1. An automobile dealership wants to use historic car sales data to train a machine learning model. The model should predict the price of a pre-owned car based on its make, model, engine size, and mileage. What kind of machine learning model should the dealership use automated machine learning to create?
Q2. A bank wants to use historic loan repayment records to categorize loan applications as low-risk or high-risk based on characteristics like the loan amount, the income of the borrower, and the loan period. What kind of machine learning model should the bank use automated machine learning to create?
Q3. You want to use automated machine learning to train a regression model with the best possible R2 score. How should you configure the automated machine learning experiment?
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