Technical requirements
To execute the recipes in the chapter, make sure you have the following:
- A running Amazon SageMaker notebook instance (for example,
ml.t2.large) - An Amazon S3 bucket
If you do not have these prerequisites ready yet, feel free to check the Launching an Amazon SageMaker notebook instance and Preparing the Amazon S3 bucket and the training dataset for the linear regression experiment recipes in Chapter 1, Getting Started with Machine Learning Using Amazon SageMaker.
As the recipes in this chapter involve a bit of code, we have made the scripts and notebooks available in this repository: https://github.com/PacktPublishing/Machine-Learning-with-Amazon-SageMaker-Cookbook/tree/master/Chapter04.
Figure 4.1 – Machine-Learning-with-Amazon-SageMaker-Cookbook GitHub repository
As seen in Figure 4.1, we have the source code for the scripts and notebooks for the recipes in this chapter organized inside the Chapter04 directory...
