From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hands-on learning: SageMaker Data Wrangler

Hands-on learning: SageMaker Data Wrangler

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hands-on learning: SageMaker Data Wrangler

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- [Instructor] Hello guys, and welcome again. So in today's hands-on lab, we're going to talk about the Amazon SageMaker Data Wrangler service. We're going to talk about how the service prepares your data, how it transforms the data, how you could use it for visualizing the data or the features that you have, and how you could use it in feature engineering techniques. So in order to just give you a glimpse of the dataset that we are going to work with, we are going to work with the dataset which is called "Hotel booking demand", which you could find on Kaggle. And a quick look on the dataset, you will have the hotel column, which is the type of the hotel. You'll find the "is canceled" column, if the reservation is canceled or not. You'll have the lead time, arrival date here, arrival date month, and so on. And we are not interested actually in prediction at the end, but we are interested in how to apply data transformation, how to visualize the columns that we just have. So this is…

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