HOTSPOT – You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data: The data is collected every 12 hours: noon and midnight. You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models. You must…

QuestionsCategory: DP-100HOTSPOT – You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data: The data is collected every 12 hours: noon and midnight. You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models. You must…
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HOTSPOT
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You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data:
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The data is collected every 12 hours: noon and midnight.
You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models.
You must use the Azure Machine Learning SDK v2 to run an automated machine learning experiment to train these models.
You need to configure the automated machine learning job and its settings.
How should you configure parameters of the classes that implement the job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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