Episode
How do you prepare your data for a time series forecast? (11 of 28)
In this video, you will learn how to get your data ready for a time series forecast; how to prepare your data to use a date/time to predict a value in another column. In this specific example, you will learn how to predict the number of bikes that will be rented within a particular date/time range. Through this video you will learn how to prepare your data to be effectively run through machine learning algorithms. Then, you will learn how to upload your data from your local computer into your Azure Machine Learning resource (specifically the datastore resource) and how to
In this video, you will learn how to get your data ready for a time series forecast; how to prepare your data to use a date/time to predict a value in another column. In this specific example, you will learn how to predict the number of bikes that will be rented within a particular date/time range. Through this video you will learn how to prepare your data to be effectively run through machine learning algorithms. Then, you will learn how to upload your data from your local computer into your Azure Machine Learning resource (specifically the datastore resource) and how to
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