From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications

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Create test data and train the model

Create test data and train the model - Amazon Web Services (AWS) Tutorial

From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications

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Create test data and train the model

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- [Instructor] So from here, we can do a few things. First we're going to prepare the data. So I'm going to open Jupyter, from here I'm going to go to the Files tab, I'm already there, and I'm going to New, and I'm going to set conda_python3, creating a new notebook with this system, this language, and it brings me to the first step. So the next step is importing the libraries that we're going to need. I'll go ahead and copy them onto my clipboard for speed sake, and go ahead and enter them in. From here, I'll go ahead and hit Run, and it gives me the next step. So notice we did get a message in the bottom, success, MyStageMakerInstance is in the particular region that we're in, and basically some technical information that just tells you that it worked, in other words the libraries have been imported successfully, so let's move on. So now it's time to create the s3 bucket that we're going to need to store the data.…

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