Using the SageMaker SDK with built-in algorithms

Being familiar with the SageMaker SDK is important to making the most of SageMaker. You can find its documentation at https://sagemaker.readthedocs.io.

Walking through a simple example is the best way to get started. In this section, we'll use the Linear Learner algorithm to train a regression model on the Boston Housing dataset. We'll proceed very slowly, leaving no stone unturned. Once again, these concepts are essential, so please take your time, and make sure you understand every step fully.

Note:

Reminder: I recommend that you follow along and run the code available in the companion GitHub repository. Every effort has been made to check all code samples present in the text. However, for those of you who have an electronic version, copying and pasting may have unpredictable results: formatting issues, weird quotes, and so on.

Preparing data

Built-in algorithms expect the dataset to be in a certain format...