M/L Learning Byte: Load, Split and Scale Data

Let's play with some data in Pandas. I am using a notebook for this purpose that's created inside a Notebook instance in Amazon SageMaker. This post contains some of the preliminary steps we would do before creating or training a model.

In my case the notebook instance was created with just the default settings.

Note that the notebook name should not be in snakecase(for ex. note_book is invalid), just saying as it's common to name variables or files in snakecase …

amazon amazon sagemaker aws case data datascience inside instance machinelearning notebook pandas python sagemaker scale training