From 632271f77f37e9e2e726c650ac73a59b0d20c5f1 Mon Sep 17 00:00:00 2001 From: Chris Endemann Date: Wed, 6 Nov 2024 12:40:00 -0600 Subject: [PATCH] Update Accessing-S3-via-SageMaker-notebooks.md --- episodes/Accessing-S3-via-SageMaker-notebooks.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/episodes/Accessing-S3-via-SageMaker-notebooks.md b/episodes/Accessing-S3-via-SageMaker-notebooks.md index e889463..ce0cb8c 100644 --- a/episodes/Accessing-S3-via-SageMaker-notebooks.md +++ b/episodes/Accessing-S3-via-SageMaker-notebooks.md @@ -173,7 +173,7 @@ print(f"Total size of bucket '{bucket_name}': {total_size_mb:.2f} MB") ### Using helper functions from lesson repo We have added code to calculate bucket size to a helper function called `get_s3_bucket_size(bucket_name)` for your convenience. There are also some other helper functions in that repo to assist you with common AWS/SageMaker workflows. To clone the repo to our Jupyter notebook, use the following code. -**Note**: Make sure you have already forked the lesson repo as described on the [setup page](). Replace "username" below with your GitHub username. +**Note**: Make sure you have already forked the lesson repo as described on the [setup page](https://uw-madison-datascience.github.io/ML_with_Amazon_SageMaker/#workshop-repository-setup). Replace "username" below with your GitHub username. ```python !git clone https://github.com/username/ML_with_Amazon_SageMaker.git # downloads ML_with_Amazon_SageMaker folder/repo (refresh file explorer to see)