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

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Hands-on learning: SageMaker Canvas

Hands-on learning: SageMaker Canvas

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

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Hands-on learning: SageMaker Canvas

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- [Instructor] Hello, guys, and welcome again. So, in today's session, we are going to talk more about the SageMaker Canvas so we're going to make a quick demo in which we will show you how you could import your dataset into the SageMaker Canvas, how you could visualize your dataset, how you could transform your dataset, and how you could train a quick model on your dataset and evaluate this model as well. So, the dataset that we will use in this hands-on lab would be the California housing dataset and let's take a glimpse of the dataset. So, we have the input features, we have the longitude, the latitude, the housing median age, total rooms, total bedrooms. These are all features in order to predict the median house value at the end. So, this is our dataset that we are going to use in order to predict in a regression problem the median house value based on the other input features, including the ocean proximity as well. So, first of all, in our example, we would import the data from…

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