Upon completion of this lab you will have performed the following:

  • Launched a Jupyter notebook from with the Amazon SageMaker service
  • Imported external files into the notebook environment
  • Seen how to enable Preview services within a notebook (assuming your account has been whitelisted for Preview access)
  • Used the pandas libraries to do some pre-processing of the source data
  • Built and deployed an ML model based upon the HRNN algorithm
  • Tested your model via just a few lines of code
  • Deployed your model into a live application

You should now be able to embed this model from within your own application code, using any language that is supported by the AWS SDK. Happy recommending!