Notebook exceeds memory?; OS Error : Cannot allocate memory

In the notebook: https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker_batch_transform/introduction_to_batch_transform/batch_transform_pca_dbscan_movie_clusters.ipynb

After training and within the "Batch Predictions PCA" I ran into a:
`OSError: [Errno 12] Cannot allocate memory`

How to recreate error:
1. Git clone: https://github.com/awslabs/amazon-sagemaker-examples.git
1. Use default kernel: conda_python3
2. "Run All"

What I tried:
Shut down & restarted notebook instance.

In the terminal I ran:
`free -h`

which returned:

```
total used free shared buffers cached
Mem: 3.9G 3.7G 202M 64K 97M 526M
```

It might be that the dataset copied from S3 is causing me to exceed memory?

Start with sagemaker_batch_transform/introduction_to_batch_transform/batch_transform_pca_dbscan_movie_clusters.ipynb, using the conda_python3 kernel and the reported Run All steps. Reproduce the OSError during “Batch Predictions PCA” and investigate the notebook's memory use, including the dataset copied from S3. Done means the notebook completes that step without the allocation error or clearly documents the required resource or data change.

Written by the indexing model from the issue text.